1
|
Aono S, Tsuneta S, Nishioka N, Aoike T, Hirayama H, Ishizaka K, Kwon J, Yoneyama M, Fujima N, Kudo K. Comparison of Echo-Planar Imaging and Compressed Sensing in the Estimation of Flow Metrics from Aortic 4D Flow MR Imaging: A Healthy Volunteer Study. Magn Reson Med Sci 2024:mp.2023-0011. [PMID: 38556273 DOI: 10.2463/mrms.mp.2023-0011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024] Open
Abstract
PURPOSE Prolonged scanning of time-resolved 3D phase-contrast MRI (4D flow MRI) limits its routine use in clinical practice. An echo-planar imaging (EPI)-based sequence and compressed sensing can reduce the scan duration. We aimed to determine the impact of EPI for 4D flow MRI on the scan duration, image quality, and quantitative flow metrics. METHODS This was a prospective study of 15 healthy volunteers (all male, mean age 33 ± 5 years). Conventional sensitivity encoding (SENSE), EPI with SENSE (EPI), and compressed SENSE (CS) (reduction factors: 6 and 12, respectively) were scanned.Scan duration, qualitative indexes of image quality, and quantitative flow parameters of net flow volume, maximum flow velocity, wall shear stress (WSS), and energy loss (EL) in the ascending aorta were assessed. Two-dimensional phase-contrast cine MRI (2D-PC) was considered the gold standard of net flow volume and maximum flow velocity. RESULTS Compared to SENSE, EPI and CS12 shortened scan durations by 71% and 73% (EPI, 4 min 39 sec; CS6, 7 min 29 sec; CS12, 4 min 14 sec; and SENSE, 15 min 51 sec). Visual image quality was significantly better for EPI than for SENSE and CS (P < 0.001). The net flow volumes obtained with SENSE, EPI, and CS12 and those obtained with 2D-PC were correlated well (r = 0.950, 0.871, and 0.850, respectively). However, the maximum velocity obtained with EPI was significantly underestimated (P < 0.010). The average WSS was significantly higher with EPI than with SENSE, CS6, and CS12 (P < 0.001, P = 0.040, and P = 0.012, respectively). The EL was significantly lower with EPI than with CS6 and CS12 (P = 0.002 and P = 0.007, respectively). CONCLUSION EPI reduced the scan duration, improved visual image quality, and was associated with more accurate net flow volume than CS. However, the flow velocity, WSS, and EL values obtained with EPI and other sequences may not be directly comparable.
Collapse
Affiliation(s)
- Satoru Aono
- Department of Radiological Technology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Satonori Tsuneta
- Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Noriko Nishioka
- Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Takuya Aoike
- Department of Radiological Technology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Hiroyuki Hirayama
- Department of Radiological Technology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Kinya Ishizaka
- Department of Radiological Technology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | | | | | - Noriyuki Fujima
- Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Kohsuke Kudo
- Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
- Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| |
Collapse
|
2
|
Sun X, Cheng LH, Plein S, Garg P, van der Geest RJ. Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI. J Cardiovasc Magn Reson 2024; 26:100003. [PMID: 38211658 PMCID: PMC11211221 DOI: 10.1016/j.jocmr.2023.100003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 12/11/2023] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND 4D flow MRI enables assessment of cardiac function and intra-cardiac blood flow dynamics from a single acquisition. However, due to the poor contrast between the chambers and surrounding tissue, quantitative analysis relies on the segmentation derived from a registered cine MRI acquisition. This requires an additional acquisition and is prone to imperfect spatial and temporal inter-scan alignment. Therefore, in this work we developed and evaluated deep learning-based methods to segment the left ventricle (LV) from 4D flow MRI directly. METHODS We compared five deep learning-based approaches with different network structures, data pre-processing and feature fusion methods. For the data pre-processing, the 4D flow MRI data was reformatted into a stack of short-axis view slices. Two feature fusion approaches were proposed to integrate the features from magnitude and velocity images. The networks were trained and evaluated on an in-house dataset of 101 subjects with 67,567 2D images and 3030 3D volumes. The performance was evaluated using various metrics including Dice, average surface distance (ASD), end-diastolic volume (EDV), end-systolic volume (ESV), LV ejection fraction (LVEF), LV blood flow kinetic energy (KE) and LV flow components. The Monte Carlo dropout method was used to assess the confidence and to describe the uncertainty area in the segmentation results. RESULTS Among the five models, the model combining 2D U-Net with late fusion method operating on short-axis reformatted 4D flow volumes achieved the best results with Dice of 84.52% and ASD of 3.14 mm. The best averaged absolute and relative error between manual and automated segmentation for EDV, ESV, LVEF and KE was 19.93 ml (10.39%), 17.38 ml (22.22%), 7.37% (13.93%) and 0.07 mJ (5.61%), respectively. Flow component results derived from automated segmentation showed high correlation and small average error compared to results derived from manual segmentation. CONCLUSIONS Deep learning-based methods can achieve accurate automated LV segmentation and subsequent quantification of volumetric and hemodynamic LV parameters from 4D flow MRI without requiring an additional cine MRI acquisition.
Collapse
Affiliation(s)
- Xiaowu Sun
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, the Netherlands
| | - Li-Hsin Cheng
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, the Netherlands
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom; Norfolk and Norwich University Hospital Foundation Trust, Norwich, United Kingdom
| | - Rob J van der Geest
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, the Netherlands.
| |
Collapse
|
3
|
Zimmermann J, Bäumler K, Loecher M, Cork TE, Marsden AL, Ennis DB, Fleischmann D. Hemodynamic effects of entry and exit tear size in aortic dissection evaluated with in vitro magnetic resonance imaging and fluid-structure interaction simulation. Sci Rep 2023; 13:22557. [PMID: 38110526 PMCID: PMC10728172 DOI: 10.1038/s41598-023-49942-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 12/13/2023] [Indexed: 12/20/2023] Open
Abstract
Understanding the complex interplay between morphologic and hemodynamic features in aortic dissection is critical for risk stratification and for the development of individualized therapy. This work evaluates the effects of entry and exit tear size on the hemodynamics in type B aortic dissection by comparing fluid-structure interaction (FSI) simulations with in vitro 4D-flow magnetic resonance imaging (MRI). A baseline patient-specific 3D-printed model and two variants with modified tear size (smaller entry tear, smaller exit tear) were embedded into a flow- and pressure-controlled setup to perform MRI as well as 12-point catheter-based pressure measurements. The same models defined the wall and fluid domains for FSI simulations, for which boundary conditions were matched with measured data. Results showed exceptionally well matched complex flow patterns between 4D-flow MRI and FSI simulations. Compared to the baseline model, false lumen flow volume decreased with either a smaller entry tear (- 17.8 and - 18.5%, for FSI simulation and 4D-flow MRI, respectively) or smaller exit tear (- 16.0 and - 17.3%). True to false lumen pressure difference (initially 11.0 and 7.9 mmHg, for FSI simulation and catheter-based pressure measurements, respectively) increased with a smaller entry tear (28.9 and 14.6 mmHg), and became negative with a smaller exit tear (- 20.6 and - 13.2 mmHg). This work establishes quantitative and qualitative effects of entry or exit tear size on hemodynamics in aortic dissection, with particularly notable impact observed on FL pressurization. FSI simulations demonstrate acceptable qualitative and quantitative agreement with flow imaging, supporting its deployment in clinical studies.
Collapse
Affiliation(s)
| | - Kathrin Bäumler
- Department of Radiology, Stanford University, Stanford, CA, USA.
| | - Michael Loecher
- Department of Radiology, Stanford University, Stanford, CA, USA
- Division of Radiology, Veterans Affairs Health Care System, Palo Alto, CA, USA
| | - Tyler E Cork
- Department of Radiology, Stanford University, Stanford, CA, USA
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Alison L Marsden
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Daniel B Ennis
- Department of Radiology, Stanford University, Stanford, CA, USA
- Division of Radiology, Veterans Affairs Health Care System, Palo Alto, CA, USA
| | | |
Collapse
|
4
|
Burkhardt BEU, Kellenberger CJ, Callaghan FM, Valsangiacomo Buechel ER, Geiger J. Flow evaluation software for four-dimensional flow MRI: a reliability and validation study. LA RADIOLOGIA MEDICA 2023; 128:1225-1235. [PMID: 37620674 PMCID: PMC10547653 DOI: 10.1007/s11547-023-01697-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 08/09/2023] [Indexed: 08/26/2023]
Abstract
PURPOSE Four-dimensional time-resolved phase-contrast cardiovascular magnetic resonance imaging (4D flow MRI) enables blood flow quantification in multiple vessels, which is crucial for patients with congenital heart disease (CHD). We investigated net flow volumes in the ascending aorta and pulmonary arteries by four different postprocessing software packages for 4D flow MRI in comparison with 2D cine phase-contrast measurements (2D PC). MATERIAL AND METHODS 4D flow and 2D PC datasets of 47 patients with biventricular CHD (median age 16, range 0.6-52 years) were acquired at 1.5 T. Net flow volumes in the ascending aorta, the main, right, and left pulmonary arteries were measured using four different postprocessing software applications and compared to offset-corrected 2D PC data. Reliability of 4D flow postprocessing software was assessed by Bland-Altman analysis and intraclass correlation coefficient (ICC). Linear regression of internal flow controls was calculated. Interobserver reproducibility was evaluated in 25 patients. RESULTS Correlation and agreement of flow volumes were very good for all software compared to 2D PC (ICC ≥ 0.94; bias ≤ 5%). Internal controls were excellent for 2D PC (r ≥ 0.95, p < 0.001) and 4D flow (r ≥ 0.94, p < 0.001) without significant difference of correlation coefficients between methods. Interobserver reliability was good for all vendors (ICC ≥ 0.94, agreement bias < 8%). CONCLUSION Haemodynamic information from 4D flow in the large thoracic arteries assessed by four commercially available postprocessing applications matches routinely performed 2D PC values. Therefore, we consider 4D flow MRI-derived data ready for clinical use in patients with CHD.
Collapse
Affiliation(s)
- Barbara Elisabeth Ursula Burkhardt
- Paediatric Cardiology, Pediatric Heart Center, Department of Surgery, University Children's Hospital Zürich, Steinwiesstrasse 75, 8032, Zurich, Switzerland.
- Children's Research Center, University Children's Hospital Zürich, Zurich, Switzerland.
| | - Christian Johannes Kellenberger
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zürich, Zurich, Switzerland
| | - Fraser Maurice Callaghan
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zürich, Zurich, Switzerland
| | - Emanuela Regina Valsangiacomo Buechel
- Paediatric Cardiology, Pediatric Heart Center, Department of Surgery, University Children's Hospital Zürich, Steinwiesstrasse 75, 8032, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zürich, Zurich, Switzerland
| | - Julia Geiger
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zürich, Zurich, Switzerland
| |
Collapse
|
5
|
Bissell MM, Raimondi F, Ait Ali L, Allen BD, Barker AJ, Bolger A, Burris N, Carhäll CJ, Collins JD, Ebbers T, Francois CJ, Frydrychowicz A, Garg P, Geiger J, Ha H, Hennemuth A, Hope MD, Hsiao A, Johnson K, Kozerke S, Ma LE, Markl M, Martins D, Messina M, Oechtering TH, van Ooij P, Rigsby C, Rodriguez-Palomares J, Roest AAW, Roldán-Alzate A, Schnell S, Sotelo J, Stuber M, Syed AB, Töger J, van der Geest R, Westenberg J, Zhong L, Zhong Y, Wieben O, Dyverfeldt P. 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update. J Cardiovasc Magn Reson 2023; 25:40. [PMID: 37474977 PMCID: PMC10357639 DOI: 10.1186/s12968-023-00942-z] [Citation(s) in RCA: 42] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/30/2023] [Indexed: 07/22/2023] Open
Abstract
Hemodynamic assessment is an integral part of the diagnosis and management of cardiovascular disease. Four-dimensional cardiovascular magnetic resonance flow imaging (4D Flow CMR) allows comprehensive and accurate assessment of flow in a single acquisition. This consensus paper is an update from the 2015 '4D Flow CMR Consensus Statement'. We elaborate on 4D Flow CMR sequence options and imaging considerations. The document aims to assist centers starting out with 4D Flow CMR of the heart and great vessels with advice on acquisition parameters, post-processing workflows and integration into clinical practice. Furthermore, we define minimum quality assurance and validation standards for clinical centers. We also address the challenges faced in quality assurance and validation in the research setting. We also include a checklist for recommended publication standards, specifically for 4D Flow CMR. Finally, we discuss the current limitations and the future of 4D Flow CMR. This updated consensus paper will further facilitate widespread adoption of 4D Flow CMR in the clinical workflow across the globe and aid consistently high-quality publication standards.
Collapse
Affiliation(s)
- Malenka M Bissell
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), LIGHT Laboratories, Clarendon Way, University of Leeds, Leeds, LS2 9NL, UK.
| | | | - Lamia Ait Ali
- Institute of Clinical Physiology CNR, Massa, Italy
- Foundation CNR Tuscany Region G. Monasterio, Massa, Italy
| | - Bradley D Allen
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alex J Barker
- Department of Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Center, Aurora, USA
| | - Ann Bolger
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Nicholas Burris
- Department of Radiology, University of Michigan, Ann Arbor, USA
| | - Carl-Johan Carhäll
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | | | - Tino Ebbers
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | | | - Alex Frydrychowicz
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck and Universität Zu Lübeck, Lübeck, Germany
| | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Julia Geiger
- Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Hojin Ha
- Department of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, South Korea
| | - Anja Hennemuth
- Institute of Computer-Assisted Cardiovascular Medicine, Charité - Universitätsmedizin, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site, Berlin, Germany
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael D Hope
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Albert Hsiao
- Department of Radiology, University of California, San Diego, CA, USA
| | - Kevin Johnson
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Liliana E Ma
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Michael Markl
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Duarte Martins
- Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal
| | - Marci Messina
- Department of Radiology, Northwestern Medicine, Chicago, IL, USA
| | - Thekla H Oechtering
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck and Universität Zu Lübeck, Lübeck, Germany
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Pim van Ooij
- Department of Radiology & Nuclear Medicine, Amsterdam Cardiovascular Sciences, Amsterdam Movement Sciences, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Cynthia Rigsby
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medical Imaging, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Jose Rodriguez-Palomares
- Department of Cardiology, Hospital Universitari Vall d´Hebron,Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red-CV, CIBER CV, Madrid, Spain
| | - Arno A W Roest
- Department of Pediatric Cardiology, Willem-Alexander's Children Hospital, Leiden University Medical Center and Center for Congenital Heart Defects Amsterdam-Leiden, Leiden, The Netherlands
| | | | - Susanne Schnell
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medical Physics, Institute of Physics, University of Greifswald, Greifswald, Germany
| | - Julio Sotelo
- School of Biomedical Engineering, Universidad de Valparaíso, Valparaíso, Chile
- Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Millennium Institute for Intelligent Healthcare Engineering - iHEALTH, Santiago, Chile
| | - Matthias Stuber
- Département de Radiologie Médicale, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Ali B Syed
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Johannes Töger
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Rob van der Geest
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jos Westenberg
- CardioVascular Imaging Group (CVIG), Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Liang Zhong
- National Heart Centre Singapore, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Yumin Zhong
- Department of Radiology, School of Medicine, Shanghai Children's Medical Center Affiliated With Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Oliver Wieben
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Petter Dyverfeldt
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| |
Collapse
|
6
|
Sun X, Cheng LH, Plein S, Garg P, Moghari MH, van der Geest RJ. Deep learning-based prediction of intra-cardiac blood flow in long-axis cine magnetic resonance imaging. Int J Cardiovasc Imaging 2023; 39:1045-1053. [PMID: 36763209 PMCID: PMC10160163 DOI: 10.1007/s10554-023-02804-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 01/22/2023] [Indexed: 02/11/2023]
Abstract
PURPOSE We aimed to design and evaluate a deep learning-based method to automatically predict the time-varying in-plane blood flow velocity within the cardiac cavities in long-axis cine MRI, validated against 4D flow. METHODS A convolutional neural network (CNN) was implemented, taking cine MRI as the input and the in-plane velocity derived from the 4D flow acquisition as the ground truth. The method was evaluated using velocity vector end-point error (EPE) and angle error. Additionally, the E/A ratio and diastolic function classification derived from the predicted velocities were compared to those derived from 4D flow. RESULTS For intra-cardiac pixels with a velocity > 5 cm/s, our method achieved an EPE of 8.65 cm/s and angle error of 41.27°. For pixels with a velocity > 25 cm/s, the angle error significantly degraded to 19.26°. Although the averaged blood flow velocity prediction was under-estimated by 26.69%, the high correlation (PCC = 0.95) of global time-varying velocity and the visual evaluation demonstrate a good agreement between our prediction and 4D flow data. The E/A ratio was derived with minimal bias, but with considerable mean absolute error of 0.39 and wide limits of agreement. The diastolic function classification showed a high accuracy of 86.9%. CONCLUSION Using a deep learning-based algorithm, intra-cardiac blood flow velocities can be predicted from long-axis cine MRI with high correlation with 4D flow derived velocities. Visualization of the derived velocities provides adjunct functional information and may potentially be used to derive the E/A ratio from conventional CMR exams.
Collapse
Affiliation(s)
- Xiaowu Sun
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Li-Hsin Cheng
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich, UK.,Norfolk and Norwich University Hospital Foundation Trust, Norwich, UK
| | - Mehdi H Moghari
- Department of Radiology, Children's Hospital Colorado, and School of Medicine, The University of Colorado, Boulder, CO, USA
| | - Rob J van der Geest
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
| |
Collapse
|
7
|
Liu P, Fall S, Ahiatsi M, Balédent O. Real-time phase contrast MRI versus conventional phase contrast MRI at different spatial resolutions and velocity encodings. Clin Imaging 2023; 94:93-102. [PMID: 36502617 DOI: 10.1016/j.clinimag.2022.11.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 11/09/2022] [Accepted: 11/28/2022] [Indexed: 12/04/2022]
Abstract
PURPOSES To compare the accuracy of real-time phase-contrast echo-planar MRI (EPI-PC) and conventional cine phase-contrast MRI (Conv-PC) and to assess the influence of spatial resolutions (pixel size) and velocity encoding on flow measurements obtained with the two sequences. METHODS Flow quantification was assessed using a pulsatile flow phantom (diameter: 9.5 mm; mean flow rate: 1150 mm3/s; mean flow velocity: 1.6 cm/s). Firstly, the accuracy of the EPI-PC was checked by comparing it with the flow rate in the calibrated phantom and the pulsation index from Conv-PC. Secondly, flow data from the two sequences were compared quantitatively as a function of the pixel size and the velocity encoding. RESULTS The mean percentage difference between the EPI-PC flow rate and calibrated phantom flow rate was -2.9 ± 2.1% (Mean ± SD). The pulsatility indices for EPI-PC and Conv-PC were respectively 0.64 and 0.59. In order to keep the flow rate measurement error within 10%, the ROI in Conv-PC had to contain at least 13 pixels, while the ROI in EPI-PC had to contain at least 9 pixels. Furthermore, Conv-PC had a higher velocity-to-noise ratio and could use a higher velocity encoding than EPI-PC (20 cm/s and 15 cm/s, respectively). CONCLUSIONS The result of this in vitro study confirmed the accuracy of EPI-PC, and found that EPI-PC can adapt to lower spatial resolutions, but is more sensitive to velocity encoding than Conv-PC.
Collapse
Affiliation(s)
- Pan Liu
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, France; Medical Image Processing Department, Amiens Picardy University Hospital, Amiens, France.
| | - Sidy Fall
- MRI Department, Jules Verne University of Picardy, Amiens, France
| | - Maureen Ahiatsi
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, France
| | - Olivier Balédent
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, France; Medical Image Processing Department, Amiens Picardy University Hospital, Amiens, France; MRI Department, Jules Verne University of Picardy, Amiens, France.
| |
Collapse
|
8
|
Kim D, Jen ML, Eisenmenger LB, Johnson KM. Accelerated 4D-flow MRI with 3-point encoding enabled by machine learning. Magn Reson Med 2023; 89:800-811. [PMID: 36198027 PMCID: PMC9712238 DOI: 10.1002/mrm.29469] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 08/22/2022] [Accepted: 09/06/2022] [Indexed: 01/25/2023]
Abstract
PURPOSE To investigate the acceleration of 4D-flow MRI using a convolutional neural network (CNN) that produces three directional velocities from three flow encodings, without requiring a fourth reference scan measuring background phase. METHODS A fully 3D CNN using a U-net architecture was trained in a block-wise fashion to take complex images from three flow encodings and to produce three real-valued images for each velocity component. Using neurovascular 4D-flow scans (n = 144), the CNN was trained to predict velocities computed from four flow encodings by standard reconstruction including correction for residual background phase offsets. Methods to optimize loss functions were investigated, including magnitude, complex difference, and uniform velocity weightings. Subsequently, 3-point encoding was evaluated using cross validation of pixelwise correlation, flow measurements in major arteries, and in experiments with data at differing acceleration rates than the training data. RESULTS The CNN-produced 3-point velocities showed excellent agreements with the 4-point velocities, both qualitatively in velocity images, in flow rate measures, and quantitatively in regression analysis (slope = 0.96, R2 = 0.992). Optimizing the training to focus on vessel velocities rather than the global velocity error and improved the correlation of velocity within vessels themselves. The lowest error was observed when the loss function used uniform velocity weighting, in which the magnitude-weighted inverse of the velocity frequency uniformly distributed weighting across all velocity ranges. When applied to highly accelerated data, the 3-point network maintained a high correlation with ground truth data and demonstrated a denoising effect. CONCLUSION The 4D-flow MRI can be accelerated using machine learning requiring only three flow encodings to produce three-directional velocity maps with small errors.
Collapse
Affiliation(s)
- Dahan Kim
- Department of Physics, University of Wisconsin, Madison, Wisconsin, USA,Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Mu-Lan Jen
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Laura B. Eisenmenger
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Kevin M. Johnson
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA,Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| |
Collapse
|
9
|
Quantifying Myocardial Blood Flow and Resistance Using 4D-Flow Cardiac Magnetic Resonance Imaging. Cardiol Res Pract 2023; 2023:3875924. [PMID: 36776959 PMCID: PMC9911256 DOI: 10.1155/2023/3875924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 10/27/2022] [Accepted: 01/04/2023] [Indexed: 02/05/2023] Open
Abstract
Background Ischaemia with nonobstructive coronary arteries is most commonly caused by coronary microvascular dysfunction but remains difficult to diagnose without invasive testing. Myocardial blood flow (MBF) can be quantified noninvasively on stress perfusion cardiac magnetic resonance (CMR) or positron emission tomography but neither is routinely used in clinical practice due to practical and technical constraints. Quantification of coronary sinus (CS) flow may represent a simpler method for CMR MBF quantification. 4D flow CMR offers comprehensive intracardiac and transvalvular flow quantification. However, it is feasibility to quantify MBF remains unknown. Methods Patients with acute myocardial infarction (MI) and healthy volunteers underwent CMR. The CS contours were traced from the 2-chamber view. A reformatted phase contrast plane was generated through the CS, and flow was quantified using 4D flow CMR over the cardiac cycle and normalised for myocardial mass. MBF and resistance (MyoR) was determined in ten healthy volunteers, ten patients with myocardial infarction (MI) without microvascular obstruction (MVO), and ten with known MVO. Results MBF was quantified in all 30 subjects. MBF was highest in healthy controls (123.8 ± 48.4 mL/min), significantly lower in those with MI (85.7 ± 30.5 mL/min), and even lower in those with MI and MVO (67.9 ± 29.2 mL/min/) (P < 0.01 for both differences). Compared with healthy controls, MyoR was higher in those with MI and even higher in those with MI and MVO (0.79 (±0.35) versus 1.10 (±0.50) versus 1.50 (±0.69), P=0.02). Conclusions MBF and MyoR can be quantified from 4D flow CMR. Resting MBF was reduced in patients with MI and MVO.
Collapse
|
10
|
Assadi H, Uthayachandran B, Li R, Wardley J, Nyi TH, Grafton-Clarke C, Swift AJ, Solana AB, Aben JP, Thampi K, Hewson D, Sawh C, Greenwood R, Hughes M, Kasmai B, Zhong L, Flather M, Vassiliou VS, Garg P. Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment. Eur Radiol Exp 2022; 6:46. [PMID: 36131185 PMCID: PMC9492816 DOI: 10.1186/s41747-022-00299-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/24/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND To validate the k-adaptive-t autocalibrating reconstruction for Cartesian sampling (kat-ARC), an exclusive sparse reconstruction technique for four-dimensional (4D) flow cardiac magnetic resonance (CMR) using conservation of mass principle applied to transvalvular flow. METHODS This observational retrospective study (2020/21-075) was approved by the local ethics committee at the University of East Anglia. Consent was waived. Thirty-five patients who had a clinical CMR scan were included. CMR protocol included cine and 4D flow using Kat-ARC acceleration factor 6. No respiratory navigation was applied. For validation, the agreement between mitral net flow (MNF) and the aortic net flow (ANF) was investigated. Additionally, we checked the agreement between peak aortic valve velocity derived by 4D flow and that derived by continuous-wave Doppler echocardiography in 20 patients. RESULTS The median age of our patient population was 63 years (interquartile range [IQR] 54-73), and 18/35 (51%) were male. Seventeen (49%) patients had mitral regurgitation, and seven (20%) patients had aortic regurgitation. Mean acquisition time was 8 ± 4 min. MNF and ANF were comparable: 60 mL (51-78) versus 63 mL (57-77), p = 0.310). There was an association between MNF and ANF (rho = 0.58, p < 0.001). Peak aortic valve velocity by Doppler and 4D flow were comparable (1.40 m/s, [1.30-1.75] versus 1.46 m/s [1.25-2.11], p = 0.602) and also correlated with each other (rho = 0.77, p < 0.001). CONCLUSIONS Kat-ARC accelerated 4D flow CMR quantified transvalvular flow in accordance with the conservation of mass principle and is primed for clinical translation.
Collapse
Affiliation(s)
- Hosamadin Assadi
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Bhalraam Uthayachandran
- grid.8241.f0000 0004 0397 2876Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK
| | - Rui Li
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - James Wardley
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Tha H. Nyi
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Ciaran Grafton-Clarke
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Andrew J. Swift
- grid.31410.370000 0000 9422 8284Department of Infection, Immunity and Cardiovascular disease, University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
| | | | | | - Kurian Thampi
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - David Hewson
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Chris Sawh
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Richard Greenwood
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Marina Hughes
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Bahman Kasmai
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Liang Zhong
- grid.419385.20000 0004 0620 9905National Heart Centre Singapore, 5 Hospital Drive, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Duke-NUS Medical School, 8 College Road, Singapore, Singapore
| | - Marcus Flather
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Vassilios S. Vassiliou
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Pankaj Garg
- grid.8273.e0000 0001 1092 7967University of East Anglia, Norwich Medical School, Norfolk, UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK ,grid.31410.370000 0000 9422 8284Department of Infection, Immunity and Cardiovascular disease, University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
| |
Collapse
|
11
|
Terada M, Takehara Y, Isoda H, Wakayama T, Nozaki A. Technical Background for 4D Flow MR Imaging. Magn Reson Med Sci 2022; 21:267-277. [PMID: 35153275 PMCID: PMC9680548 DOI: 10.2463/mrms.rev.2021-0104] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/20/2021] [Indexed: 10/27/2023] Open
Abstract
Recently, the hemodynamic assessments with 3D cine phase-contrast (PC) MRI (4D flow MRI) have attracted considerable attention from clinicians. Unlike 2D cine PC MRI, the technique allows for cardiac phase-resolved data acquisitions of flow velocity vectors within the entire FOV during a clinically viable period. Thus, the method has enabled retrospective flowmetry in the spatial and temporal axes, which are essential to derive hemodynamic parameters related to vascular homeostasis and those to the progression of the pathologies. Accelerations in imaging are critical for this technology to be clinically viable; however, a high SNR or velocity-to-noise ratio (VNR) is also vital for accurate flow measurements. In this chapter, the technologies enabling this difficult balance are discussed.
Collapse
Affiliation(s)
- Masaki Terada
- Department of Diagnostic Radiologic Technology, Iwata City Hospital, Iwata, Shizuoka, Japan
| | - Yasuo Takehara
- Department of Fundamental Development for Advanced Low Invasive Diagnostic Imaging, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Haruo Isoda
- Department of Brain & Mind Sciences, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | | | - Atsushi Nozaki
- MR Applications and Workflow, GE Healthcare Japan, Tokyo, Japan
| |
Collapse
|
12
|
Isoda H, Fukuyama A. Quality Control for 4D Flow MR Imaging. Magn Reson Med Sci 2022; 21:278-292. [PMID: 35197395 PMCID: PMC9680545 DOI: 10.2463/mrms.rev.2021-0165] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 01/08/2022] [Indexed: 01/06/2023] Open
Abstract
In recent years, 4D flow MRI has become increasingly important in clinical applications for the blood vessels in the whole body, heart, and cerebrospinal fluid. 4D flow MRI has advantages over 2D cine phase-contrast (PC) MRI in that any targeted area of interest can be analyzed post-hoc, but there are some factors to be considered, such as ensuring measurement accuracy, a long imaging time and post-processing complexity, and interobserver variability.Due to the partial volume phenomenon caused by low spatial and temporal resolutions, the accuracy of flow measurement in 4D flow MRI is reduced. For spatial resolution, it is recommended to include at least four voxels in the vessel of interest, and if possible, six voxels. In large vessels such as the aorta, large voxels can be secured and SNR can be maintained, but in small cerebral vessels, SNR is reduced, resulting in reduced accuracy. A temporal resolution of less than 40 ms is recommended. The velocity-to-noise ratio (VNR) of low-velocity blood flow is low, resulting in poor measurement accuracy. The use of dual velocity encoding (VENC) or multi-VENC is recommended to avoid velocity wrap around and to increase VNR. In order to maintain sufficient spatio-temporal resolution, a longer imaging time is required, leading to potential patient movement during examination and a corresponding decrease in measurement accuracy.For the clinical application of new technologies, including various acceleration techniques, in vitro and in vivo accuracy verification based on existing accuracy-validated 2D cine PC MRI and 4D flow MRI, as well as accuracy verification on the conservation of mass' principle, should be performed, and intraobserver repeatability, interobserver reproducibility, and test-retest reproducibility should be checked.
Collapse
Affiliation(s)
- Haruo Isoda
- Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan
- Biomedical Imaging Sciences, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Atsushi Fukuyama
- Faculty of Health Sciences, Department of Radiological Sciences, Japan Healthcare University, Sapporo, Hokkaido, Japan
| |
Collapse
|
13
|
Abstract
This special issue of Magnetic Resonance in Medical Sciences features the most recent reviews on 4D Flow MRI. These reviews deal with the current status of the emerging technique of 4D Flow MRI facilitated in various areas that are difficult to obtain with conventional flowmetry. MR signals inherently contain flow velocity information. In previous decades, in vivo blood flow measurement was traditionally performed by 2D methods, such as Doppler ultrasonography and 2D phase-contrast MRI, which have long been regarded as mature techniques in hemodynamic flowmetry. Although 2D velocimetries have many advantages over 4D Flow MRI in terms of cost and accessibility, and provide excellent temporal and in-plane spatial resolutions, they also have some disadvantages. The emerging technology of 4D Flow MRI can overcome the shortcomings of conventional 2D imaging. In recent years, hemodynamic analysis has witnessed significant progress that is primarily attributable to advances in 4D Flow MRI.
Collapse
Affiliation(s)
- Yasuo Takehara
- Department of Fundamental Development for Low Invasive Diagnostic Imaging, Nagoya University Graduate School of Medicine
| | - Tetsuro Sekine
- Department of Radiology, Nippon Medical School Musashi Kosugi Hospital
| | - Takayuki Obata
- Applied MRI Research, Department of Molecular Imaging and Theranostics, National Institutes for Quantum Science and Technology
| |
Collapse
|
14
|
Shiina Y, Inai K, Nagao M. Non-physiological Aortic Flow and Aortopathy in Adult Patients with Transposition of the Great Arteries after the Jatene Procedure: A Pilot Study Using Echo Planar 4D Flow MRI. Magn Reson Med Sci 2021; 20:439-449. [PMID: 33551381 PMCID: PMC8922356 DOI: 10.2463/mrms.mp.2020-0101] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Purpose Dilated aortic root and ascending aorta (AAO) with progressive aortic regurgitation is a well-known sequela after arterial switch operation (ASO) in adults with transposition of the great arteries (TGA). We aimed to quantitatively assess aortic flow profiles in adults with TGA after ASO (Jatene procedure with LeCompte maneuver) using echo planar imaging (EPI) 4D flow MRI. Methods Prospectively, 9 consecutive adults (30.2 ± 6.6 years) after ASO (Jatene operation with LeCompte technique), 13 consecutive adults (34.3 ± 7.2 years) after the atrial switch operation with Senning procedure, and 8 age-matched control patients, who underwent turbo field echo (TFE) EPI 4D flow MRI (average scan time of approximately 4 min), were enrolled. Results TGA after ASO showed a markedly dilated sinus of Valsalva, compared to TGA after atrial switch operation (26.6. ± 4.9 vs. 18.6. ± 1.5 mm/cm2). Vorticity, helicity, wall share stress (WSS), and energy loss (EL) in the aortic root and the AAO in TGA were greater than in the controls. Vorticity, helicity, WSS, and EL in the aortic root and the AAO were also greater in TGA after ASO than after atrial switch operation. More acute aortic arch angle correlated with greater vorticity of the aortic root, and the significant diameter ratio of the sinus of Valsalva and the AAO was relevant to greater vorticity, helicity, and EL in TGA after ASO. Conclusion A non-physiological blood flow pattern of the aortic root was identified in TGA adults after the ASO (Jatene procedure with LeCompte maneuver). Missing spiral looping of the great arteries and the unique structure after the Jatene procedure may play an adjunctive role in promoting aortopathy. The evaluation of aortic flow profile using EPI 4D flow MRI may be useful for risk stratification for aortopathy in this population.
Collapse
Affiliation(s)
- Yumi Shiina
- Department of Pediatric Cardiology and Adult Congenital Cardiology, Tokyo Women's Medical University.,Cardiovascular Center, St. Luke's International Hospital
| | - Kei Inai
- Department of Pediatric Cardiology and Adult Congenital Cardiology, Tokyo Women's Medical University
| | - Michinobu Nagao
- Department of Diagnostic imaging & Nuclear Medicine, Tokyo Women's Medical University
| |
Collapse
|
15
|
Blanken CPS, Gottwald LM, Westenberg JJM, Peper ES, Coolen BF, Strijkers GJ, Nederveen AJ, Planken RN, van Ooij P. Whole-Heart 4D Flow MRI for Evaluation of Normal and Regurgitant Valvular Flow: A Quantitative Comparison Between Pseudo-Spiral Sampling and EPI Readout. J Magn Reson Imaging 2021; 55:1120-1130. [PMID: 34510612 PMCID: PMC9290924 DOI: 10.1002/jmri.27905] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 08/18/2021] [Accepted: 08/19/2021] [Indexed: 01/23/2023] Open
Abstract
Background Pseudo‐spiral Cartesian sampling with compressed sensing reconstruction has facilitated highly accelerated 4D flow magnetic resonance imaging (MRI) in various cardiovascular structures. However, unlike echo planar imaging (EPI)‐accelerated 4D flow MRI, it has not been validated in whole‐heart applications. Hypothesis Pseudo‐spiral 4D flow MRI (PROUD [PROspective Undersampling in multiple Dimensions]) is comparable to EPI in robustness of valvular flow measurements and remains comparable as the undersampling factor is increased and scan time reduced. Study Type Prospective. Population Twelve healthy subjects and eight patients with valvular regurgitation. Field Strength/Sequence 3.0 T; PROUD and EPI 4D flow sequences, 2D flow and balanced steady‐state free precession sequences. Assessment Valvular blood flow was quantified using valve tracking. PROUD‐ and EPI‐based measurements of aortic (AV) and pulmonary (PV) flow volumes and left and right ventricular stroke volumes were tested for agreement with 2D MRI‐based measurements. PROUD reconstructions with undersampling factors (R) of 9, 14, 28, and 56 were tested for intervalve consistency (per valve, compared to the other valves) and preservation of peak velocities and E/A ratios. Statistical Tests We used repeated measures ANOVA, Bland‐Altman, Wilcoxon signed rank, and intraclass correlation coefficients. P < 0.05 was considered statistically significant. Results PROUD and EPI intervalve consistencies were not significantly different both in healthy subjects (valve‐averaged mean difference [limits of agreement width]: 3.2 ± 0.8 [8.7 ± 1.1] mL/beat for PROUD, 5.5 ± 2.9 [13.7 ± 2.3] mL/beat for EPI, P = 0.07) and in patients with valvular regurgitation (2.3 ± 1.2 [15.3 ± 5.9] mL/beat for PROUD, 0.6 ± 0.6 [19.3 ± 2.9] mL/beat for EPI, P = 0.47). Agreement between EPI and PROUD was higher than between 4D flow (EPI or PROUD) and 2D MRI for forward flow, stroke volumes, and regurgitant volumes. Up to R = 28 in healthy subjects and R = 14 in patients with valvular regurgitation, PROUD intervalve consistency remained comparable to that of EPI. Peak velocities and E/A ratios were preserved up to R = 9. Conclusion PROUD is comparable to EPI in terms of intervalve consistency and may be used with higher undersampling factors to shorten scan times further. Level of Evidence 1 Technical Efficacy Stage 2
Collapse
Affiliation(s)
- Carmen P S Blanken
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | - Lukas M Gottwald
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | | | - Eva S Peper
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | - Bram F Coolen
- Department of Biomedical Engineering and Physics, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | - Gustav J Strijkers
- Department of Biomedical Engineering and Physics, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | - R Nils Planken
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | - Pim van Ooij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| |
Collapse
|
16
|
Doyle CM, Orr J, Greenwood JP, Plein S, Tsoumpas C, Bissell MM. Four-Dimensional Flow Magnetic Resonance Imaging in the Assessment of Blood Flow in the Heart and Great Vessels: A Systematic Review. J Magn Reson Imaging 2021; 55:1301-1321. [PMID: 34416048 DOI: 10.1002/jmri.27874] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 07/22/2021] [Accepted: 07/23/2021] [Indexed: 12/28/2022] Open
Abstract
Four-dimensional (4D) flow magnetic resonance imaging (MRI) allows multidirectional quantification of blood flow in the heart and great vessels. Comparability of the technique to the current reference standards of flow assessment-two-dimensional (2D) flow MRI and Doppler echocardiography-varies in the literature. Image acquisition parameters likely impact upon the accuracy and reproducibility of 4D flow MRI. We therefore sought to review the current literature on 4D flow MRI in the heart and great vessels, in comparison to 2D flow MRI, Doppler echocardiography, and invasive catheterization. Using a predefined search strategy and inclusion and exclusion criteria, the databases EMBASE and Medline were searched in January 2021 for peer-reviewed research articles comparing cardiac 4D flow MRI to 2D flow MRI, Doppler echocardiography and/or invasive catheterization. The data from all relevant articles were assimilated and analyzed using Mann-Whitney U and chi χ2 test. Forty-four manuscripts met the eligibility criteria and were included in the review. The review showed agreement of 4D flow MRI to the reference standard methods of flow assessment, particular in the measurement of peak velocity and stroke volume in 55% of manuscripts. The use of valve tracking significantly improves agreement between 4D flow MRI and the reference modalities (79% matching with the use of valve tracking vs. 50% without, P = 0.04). This review highlights that the impact of acquisition parameters on 4D flow MRI accuracy is multifactorial. It is therefore important that each center conducts its own quality assurance prior to using 4D flow MRI for clinical decision-making. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY: Stage 2.
Collapse
Affiliation(s)
- Ciara M Doyle
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, UK
| | - Jenny Orr
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, UK
| | - John P Greenwood
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, UK
| | - Sven Plein
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, UK
| | - Charalampos Tsoumpas
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, UK.,Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Malenka M Bissell
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, UK
| |
Collapse
|
17
|
Paddock S, Tsampasian V, Assadi H, Mota BC, Swift AJ, Chowdhary A, Swoboda P, Levelt E, Sammut E, Dastidar A, Broncano Cabrero J, Del Val JR, Malcolm P, Sun J, Ryding A, Sawh C, Greenwood R, Hewson D, Vassiliou V, Garg P. Clinical Translation of Three-Dimensional Scar, Diffusion Tensor Imaging, Four-Dimensional Flow, and Quantitative Perfusion in Cardiac MRI: A Comprehensive Review. Front Cardiovasc Med 2021; 8:682027. [PMID: 34307496 PMCID: PMC8292630 DOI: 10.3389/fcvm.2021.682027] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 06/04/2021] [Indexed: 01/05/2023] Open
Abstract
Cardiovascular magnetic resonance (CMR) imaging is a versatile tool that has established itself as the reference method for functional assessment and tissue characterisation. CMR helps to diagnose, monitor disease course and sub-phenotype disease states. Several emerging CMR methods have the potential to offer a personalised medicine approach to treatment. CMR tissue characterisation is used to assess myocardial oedema, inflammation or thrombus in various disease conditions. CMR derived scar maps have the potential to inform ablation therapy—both in atrial and ventricular arrhythmias. Quantitative CMR is pushing boundaries with motion corrections in tissue characterisation and first-pass perfusion. Advanced tissue characterisation by imaging the myocardial fibre orientation using diffusion tensor imaging (DTI), has also demonstrated novel insights in patients with cardiomyopathies. Enhanced flow assessment using four-dimensional flow (4D flow) CMR, where time is the fourth dimension, allows quantification of transvalvular flow to a high degree of accuracy for all four-valves within the same cardiac cycle. This review discusses these emerging methods and others in detail and gives the reader a foresight of how CMR will evolve into a powerful clinical tool in offering a precision medicine approach to treatment, diagnosis, and detection of disease.
Collapse
Affiliation(s)
- Sophie Paddock
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.,Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - Vasiliki Tsampasian
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Hosamadin Assadi
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom
| | - Bruno Calife Mota
- Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - Andrew J Swift
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom
| | - Amrit Chowdhary
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Peter Swoboda
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Eylem Levelt
- Multidisciplinary Cardiovascular Research Centre & Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Eva Sammut
- Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, University of Bristol, Bristol, United Kingdom
| | - Amardeep Dastidar
- Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, University of Bristol, Bristol, United Kingdom
| | - Jordi Broncano Cabrero
- Cardiothoracic Imaging Unit, Hospital San Juan De Dios, Ressalta, HT Medica, Córdoba, Spain
| | - Javier Royuela Del Val
- Cardiothoracic Imaging Unit, Hospital San Juan De Dios, Ressalta, HT Medica, Córdoba, Spain
| | - Paul Malcolm
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Julia Sun
- Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - Alisdair Ryding
- Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - Chris Sawh
- Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - Richard Greenwood
- Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - David Hewson
- Department of Cardiology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
| | - Vassilios Vassiliou
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Pankaj Garg
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.,Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom
| |
Collapse
|
18
|
Oyama-Manabe N, Aikawa T, Tsuneta S, Manabe O. Clinical Applications of 4D Flow MR Imaging in Aortic Valvular and Congenital Heart Disease. Magn Reson Med Sci 2021; 21:319-326. [PMID: 34176866 DOI: 10.2463/mrms.rev.2021-0030] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
4D flow MRI allows time-resolved 3D velocity-encoded phase-contrast imaging for 3D visualization and quantification of aortic and intracardiac flow. Radiologists should be familiar with the principles of 4D flow MRI and methods for evaluating blood flow qualitatively and quantitatively. The most substantial benefits of 4D flow MRI are that it enables the simultaneous comprehensive assessment of different vessels, and that retrospective analysis can be achieved in all vessels in any direction in the field of view, which is especially beneficial for patients with complicated congenital heart disease (CHD). For aortic valvular diseases, new parameters such as wall shear stress and energy loss may provide new prognostic values for 4D flow MRI. In this review, we introduce the clinical applications of 4D flow MRI for the visualization of blood flow and quantification of hemodynamic metrics in the setting of aortic valvular disease and CHD, including intracardiac shunt and coronary artery anomaly.
Collapse
Affiliation(s)
| | - Tadao Aikawa
- Department of Radiology, Jichi Medical University Saitama Medical Center
| | - Satonori Tsuneta
- Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital
| | - Osamu Manabe
- Department of Radiology, Jichi Medical University Saitama Medical Center
| |
Collapse
|
19
|
Demirkiran A, van Ooij P, Westenberg JJM, Hofman MBM, van Assen HC, Schoonmade LJ, Asim U, Blanken CPS, Nederveen AJ, van Rossum AC, Götte MJW. Clinical intra-cardiac 4D flow CMR: acquisition, analysis, and clinical applications. Eur Heart J Cardiovasc Imaging 2021; 23:154-165. [PMID: 34143872 PMCID: PMC8787996 DOI: 10.1093/ehjci/jeab112] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 05/25/2021] [Indexed: 12/13/2022] Open
Abstract
Identification of flow patterns within the heart has long been recognized as a potential contribution to the understanding of physiological and pathophysiological processes of cardiovascular diseases. Although the pulsatile flow itself is multi-dimensional and multi-directional, current available non-invasive imaging modalities in clinical practice provide calculation of flow in only 1-direction and lack 3-dimensional volumetric velocity information. Four-dimensional flow cardiovascular magnetic resonance imaging (4D flow CMR) has emerged as a novel tool that enables comprehensive and critical assessment of flow through encoding velocity in all 3 directions in a volume of interest resolved over time. Following technical developments, 4D flow CMR is not only capable of visualization and quantification of conventional flow parameters such as mean/peak velocity and stroke volume but also provides new hemodynamic parameters such as kinetic energy. As a result, 4D flow CMR is being extensively exploited in clinical research aiming to improve understanding of the impact of cardiovascular disease on flow and vice versa. Of note, the analysis of 4D flow data is still complex and accurate analysis tools that deliver comparable quantification of 4D flow values are a necessity for a more widespread adoption in clinic. In this article, the acquisition and analysis processes are summarized and clinical applications of 4D flow CMR on the heart including conventional and novel hemodynamic parameters are discussed. Finally, clinical potential of other emerging intra-cardiac 4D flow imaging modalities is explored and a near-future perspective on 4D flow CMR is provided.
Collapse
Affiliation(s)
- Ahmet Demirkiran
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Pim van Ooij
- Department of Radiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Jos J M Westenberg
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Mark B M Hofman
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Hans C van Assen
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Linda J Schoonmade
- Medical Library, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Usman Asim
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Carmen P S Blanken
- Department of Radiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Department of Radiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Albert C van Rossum
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Marco J W Götte
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| |
Collapse
|
20
|
Abstract
MRI is an essential diagnostic tool in the anatomic and functional evaluation of cardiovascular disease. In many practices, 2D phase-contrast (2D-PC) has been used for blood flow quantification. 4D Flow MRI is a time-resolved volumetric acquisition that captures the vector field of blood flow along with anatomic images. 4D Flow MRI provides a simpler acquisition compared to 2D-PC and facilitates a more accurate and comprehensive hemodynamic assessment. Advancements in accelerated imaging have significantly shortened scan times of 4D Flow MRI while preserving image quality, enabling this technology to transition from the research arena to routine clinical practice. In this article, we review technical optimization based on our clinical experience of over 10 years with 4D Flow MRI. We also present pearls and pitfalls in the practical application of 4D Flow MRI, including how to quantify cardiovascular shunts, valvular or vascular stenosis, and valvular regurgitation. As experience increases, and as 4D Flow sequences and post-processing software become more broadly available, 4D Flow MRI will likely become an essential component of cardiac imaging for practices involved in the management of congenital and acquired structural heart disease.
Collapse
|
21
|
Mills MT, Grafton-Clarke C, Williams G, Gosling RC, Al Baraikan A, Kyriacou AL, Morris PD, Gunn JP, Swoboda PP, Levelt E, Tsampasian V, van der Geest RJ, Swift AJ, Greenwood JP, Plein S, Vassiliou V, Garg P. Feasibility and validation of trans-valvular flow derived by four-dimensional flow cardiovascular magnetic resonance imaging in patients with atrial fibrillation. Wellcome Open Res 2021; 6:73. [PMID: 34095509 PMCID: PMC8150120 DOI: 10.12688/wellcomeopenres.16655.2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/17/2021] [Indexed: 11/20/2022] Open
Abstract
Background: Four-dimensional (4D) flow cardiovascular magnetic resonance imaging (MRI) is an emerging technique used for intra-cardiac blood flow assessment. The role of 4D flow cardiovascular MRI in the assessment of trans-valvular flow in patients with atrial fibrillation (AF) has not previously been assessed. The purpose of this study was to assess the feasibility, image quality, and internal validity of 4D flow cardiovascular MRI in the quantification of trans-valvular flow in patients with AF. Methods: Patients with AF and healthy controls in sinus rhythm underwent cardiovascular MRI, including 4D flow studies. Quality assurance checks were done on the raw data and streamlines. Consistency was investigated by trans-valvular flow assessment between the mitral valve (MV) and the aortic valve (AV). Results: Eight patients with AF (88% male, mean age 62±13 years, mean heart rate (HR) 83±16 beats per minute (bpm)) were included and compared with ten healthy controls (70% male, mean age 41±20 years, mean HR 68.5±9 bpm). All scans were of either good quality with minimal blurring artefacts, or excellent quality with no artefacts. No significant bias was observed between the AV and MV stroke volumes in either healthy controls (-4.8, 95% CI -15.64 to 6.04; P=0.34) or in patients with AF (1.64, 95% CI -4.7 to 7.94; P=0.56). A significant correlation was demonstrated between MV and AV stroke volumes in both healthy controls (r=0.87, 95% CI 0.52 to 0.97; P=0.001) and in AF patients (r=0.82, 95% CI 0.26 to 0.97; P=0.01). Conclusions: In patients with AF, 4D flow cardiovascular MRI is feasible with good image quality, allowing for quantification of trans-valvular flow.
Collapse
Affiliation(s)
- Mark T Mills
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | | | - Gareth Williams
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Rebecca C Gosling
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Abdulaziz Al Baraikan
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andreas L Kyriacou
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Paul D Morris
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Julian P Gunn
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Peter P Swoboda
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Eylem Levelt
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | | | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Andrew J Swift
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - John P Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Vass Vassiliou
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Pankaj Garg
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
- Norwich Medical School, University of East Anglia, Norwich, UK
| |
Collapse
|
22
|
Chowdhary A, Garg P, Das A, Nazir MS, Plein S. Cardiovascular magnetic resonance imaging: emerging techniques and applications. Heart 2021; 107:697-704. [PMID: 33402364 PMCID: PMC7611390 DOI: 10.1136/heartjnl-2019-315669] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 11/02/2020] [Accepted: 11/23/2020] [Indexed: 01/15/2023] Open
Abstract
This review gives examples of emerging cardiovascular magnetic resonance (CMR) techniques and applications that have the potential to transition from research to clinical application in the near future. Four-dimensional flow CMR (4D-flow CMR) allows time-resolved three-directional, three-dimensional (3D) velocity-encoded phase-contrast imaging for 3D visualisation and quantification of valvular or intracavity flow. Acquisition times of under 10 min are achievable for a whole heart multidirectional data set and commercial software packages are now available for data analysis, making 4D-flow CMR feasible for inclusion in clinical imaging protocols. Diffusion tensor imaging (DTI) is based on the measurement of molecular water diffusion and uses contrasting behaviour in the presence and absence of boundaries to infer tissue structure. Cardiac DTI is capable of non-invasively phenotyping the 3D micro-architecture within a few minutes, facilitating transition of the method to clinical protocols. Hybrid positron emission tomography-magnetic resonance (PET-MR) provides quantitative PET measures of biological and pathological processes of the heart combined with anatomical, morphological and functional CMR imaging. Cardiac PET-MR offers opportunities in ischaemic, inflammatory and infiltrative heart disease.
Collapse
Affiliation(s)
- Amrit Chowdhary
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, West Yorkshire, UK
| | - Pankaj Garg
- Cardiovascular and Metabolic Medicine Group, University of East Anglia, Norwich, UK
| | - Arka Das
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, West Yorkshire, UK
| | - Muhummad Sohaib Nazir
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, West Yorkshire, UK
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| |
Collapse
|
23
|
Elhawaz A, Archer GT, Zafar H, Fidock B, Barker N, Jones R, Rothman A, Hose R, Al-Mohammad A, Briffa N, Hunter S, Braidley P, Hall IR, Grech E, van der Geest RJ, Gunn JP, Swift AJ, Wild JM, Garg P. Left ventricular blood flow kinetic energy is associated with the six-minute walk test and left ventricular remodelling post valvular intervention in aortic stenosis. Quant Imaging Med Surg 2021; 11:1470-1482. [PMID: 33816183 DOI: 10.21037/qims-20-586] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Background Left ventricular (LV) kinetic energy (KE) assessment by four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) may offer incremental value over routine assessment in aortic stenosis (AS). The main objective of this study is to investigate the LV KE in patients with AS before and after the valve intervention. In addition, this study aimed to investigate if LV KE offers incremental value for its association to the six-minute walk test (6MWT) or LV remodelling post-intervention. Methods We recruited 18 patients with severe AS. All patients underwent transthoracic echocardiography for mean pressure gradient (mPG), CMR including 4D flow and 6MWT. Patients were invited for post-valve intervention follow-up CMR at 3 months and twelve patients returned for follow-up CMR. KE assessment of LV blood flow and the components (direct, delayed, retained and residual) were carried out for all cases. LV KE parameters were normalised to LV end-diastolic volume (LVEDV). Results For LV blood flow KE assessment, the metrics including time delay (TD) for peak E-wave from base to mid-ventricle (14±48 vs. 2.5±9.75 ms, P=0.04), direct (4.91±5.07 vs. 1.86±1.72 µJ, P=0.01) and delayed (2.46±3.13 vs. 1.38±1.15 µJ, P=0.03) components of LV blood flow demonstrated a significant change between pre- and post-valve intervention. Only LV KEiEDV (r=-0.53, P<0.01), diastolic KEiEDV (r=-0.53, P<0.01) and Ewave KEiEDV (r=-0.38, P=0.04) demonstrated association to the 6MWT. However, Pre-operative LV KEiEDV (r=0.67, P=0.02) demonstrated association to LV remodelling post valve intervention. Conclusions LV blood flow KE is associated with 6MWT and LV remodelling in patients with AS. LV KE assessment provides incremental value over routine LV function and pressure gradient (PG) assessment in AS.
Collapse
Affiliation(s)
- Alaa Elhawaz
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Gareth T Archer
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Hamza Zafar
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Benjamin Fidock
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Natasha Barker
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Rachel Jones
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Alexander Rothman
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Rod Hose
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Abdallah Al-Mohammad
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK.,Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Norman Briffa
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK.,Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Steven Hunter
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Peter Braidley
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Ian R Hall
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Ever Grech
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Rob J van der Geest
- Division of Image Processing, Leiden University Medical Centre, Leiden, The Netherlands
| | - Julian P Gunn
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andrew J Swift
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - James M Wild
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Pankaj Garg
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| |
Collapse
|
24
|
Mills MT, Grafton-Clarke C, Williams G, Gosling RC, Al Baraikan A, Kyriacou AL, Morris PD, Gunn JP, Swoboda PP, Levelt E, Tsampasian V, van der Geest RJ, Swift AJ, Greenwood JP, Plein S, Vassiliou V, Garg P. Feasibility and validation of trans-valvular flow derived by four-dimensional flow cardiovascular magnetic resonance imaging in patients with atrial fibrillation. Wellcome Open Res 2021; 6:73. [PMID: 34095509 PMCID: PMC8150120 DOI: 10.12688/wellcomeopenres.16655.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/05/2021] [Indexed: 11/12/2023] Open
Abstract
Background: Four-dimensional (4D) flow cardiovascular magnetic resonance imaging (MRI) is an emerging technique used for intra-cardiac blood flow assessment. The role of 4D flow cardiovascular MRI in the assessment of trans-valvular flow in patients with atrial fibrillation (AF) has not previously been assessed. The purpose of this study was to assess the feasibility, image quality, and internal validity of 4D flow cardiovascular MRI in the quantification of trans-valvular flow in patients with AF. Methods: Patients with AF and healthy controls in sinus rhythm underwent cardiovascular MRI, including 4D flow studies. Quality assurance checks were done on the raw data and streamlines. Consistency was investigated by trans-valvular flow assessment between the mitral valve (MV) and the aortic valve (AV). Results: Eight patients with AF (88% male, mean age 62±13 years, mean heart rate (HR) 83±16 beats per minute (bpm)) were included and compared with ten healthy controls (70% male, mean age 41±20 years, mean HR 68.5±9 bpm). All scans were of either good quality with minimal blurring artefacts, or excellent quality with no artefacts. No significant bias was observed between the AV and MV stroke volumes in either healthy controls (-4.8, 95% CI -15.64 to 6.04; P=0.34) or in patients with AF (1.64, 95% CI -4.7 to 7.94; P=0.56). A significant correlation was demonstrated between MV and AV stroke volumes in both healthy controls (r=0.87, 95% CI 0.52 to 0.97; P=0.001) and in AF patients (r=0.82, 95% CI 0.26 to 0.97; P=0.01). Conclusions: In patients with AF, 4D flow cardiovascular MRI is feasible with good image quality, allowing for quantification of trans-valvular flow.
Collapse
Affiliation(s)
- Mark T Mills
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | | | - Gareth Williams
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Rebecca C Gosling
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Abdulaziz Al Baraikan
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Andreas L Kyriacou
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Paul D Morris
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Julian P Gunn
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Peter P Swoboda
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Eylem Levelt
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | | | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Andrew J Swift
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - John P Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Vass Vassiliou
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Pankaj Garg
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
- Norwich Medical School, University of East Anglia, Norwich, UK
| |
Collapse
|
25
|
On the impact of vessel wall stiffness on quantitative flow dynamics in a synthetic model of the thoracic aorta. Sci Rep 2021; 11:6703. [PMID: 33758315 PMCID: PMC7988183 DOI: 10.1038/s41598-021-86174-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 03/09/2021] [Indexed: 12/12/2022] Open
Abstract
Aortic wall stiffening is a predictive marker for morbidity in hypertensive patients. Arterial pulse wave velocity (PWV) correlates with the level of stiffness and can be derived using non-invasive 4D-flow magnetic resonance imaging (MRI). The objectives of this study were twofold: to develop subject-specific thoracic aorta models embedded into an MRI-compatible flow circuit operating under controlled physiological conditions; and to evaluate how a range of aortic wall stiffness impacts 4D-flow-based quantification of hemodynamics, particularly PWV. Three aorta models were 3D-printed using a novel photopolymer material at two compliant and one nearly rigid stiffnesses and characterized via tensile testing. Luminal pressure and 4D-flow MRI data were acquired for each model and cross-sectional net flow, peak velocities, and PWV were measured. In addition, the confounding effect of temporal resolution on all metrics was evaluated. Stiffer models resulted in increased systolic pressures (112, 116, and 133 mmHg), variations in velocity patterns, and increased peak velocities, peak flow rate, and PWV (5.8–7.3 m/s). Lower temporal resolution (20 ms down to 62.5 ms per image frame) impacted estimates of peak velocity and PWV (7.31 down to 4.77 m/s). Using compliant aorta models is essential to produce realistic flow dynamics and conditions that recapitulated in vivo hemodynamics.
Collapse
|
26
|
Gottwald LM, Blanken CPS, Tourais J, Smink J, Planken RN, Boekholdt SM, Meijboom LJ, Coolen BF, Strijkers GJ, Nederveen AJ, van Ooij P. Retrospective Camera-Based Respiratory Gating in Clinical Whole-Heart 4D Flow MRI. J Magn Reson Imaging 2021; 54:440-451. [PMID: 33694310 PMCID: PMC8359364 DOI: 10.1002/jmri.27564] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 02/02/2021] [Accepted: 02/03/2021] [Indexed: 12/17/2022] Open
Abstract
Background Respiratory gating is generally recommended in 4D flow MRI of the heart to avoid blurring and motion artifacts. Recently, a novel automated contact‐less camera‐based respiratory motion sensor has been introduced. Purpose To compare camera‐based respiratory gating (CAM) with liver‐lung‐navigator‐based gating (NAV) and no gating (NO) for whole‐heart 4D flow MRI. Study Type Retrospective. Subjects Thirty two patients with a spectrum of cardiovascular diseases. Field Strength/Sequence A 3T, 3D‐cine spoiled‐gradient‐echo‐T1‐weighted‐sequence with flow‐encoding in three spatial directions. Assessment Respiratory phases were derived and compared against each other by cross‐correlation. Three radiologists/cardiologist scored images reconstructed with camera‐based, navigator‐based, and no respiratory gating with a 4‐point Likert scale (qualitative analysis). Quantitative image quality analysis, in form of signal‐to‐noise ratio (SNR) and liver‐lung‐edge (LLE) for sharpness and quantitative flow analysis of the valves were performed semi‐automatically. Statistical Tests One‐way repeated measured analysis of variance (ANOVA) with Wilks's lambda testing and follow‐up pairwise comparisons. Significance level of P ≤ 0.05. Krippendorff's‐alpha‐test for inter‐rater reliability. Results The respiratory signal analysis revealed that CAM and NAV phases were highly correlated (C = 0.93 ± 0.09, P < 0.01). Image scoring showed poor inter‐rater reliability and no significant differences were observed (P ≥ 0.16). The image quality comparison showed that NAV and CAM were superior to NO with higher SNR (P = 0.02) and smaller LLE (P < 0.01). The quantitative flow analysis showed significant differences between the three respiratory‐gated reconstructions in the tricuspid and pulmonary valves (P ≤ 0.05), but not in the mitral and aortic valves (P > 0.05). Pairwise comparisons showed that reconstructions without respiratory gating were different in flow measurements to either CAM or NAV or both, but no differences were found between CAM and NAV reconstructions. Data Conclusion Camera‐based respiratory gating performed as well as conventional liver‐lung‐navigator‐based respiratory gating. Quantitative image quality analysis showed that both techniques were equivalent and superior to no‐gating‐reconstructions. Quantitative flow analysis revealed local flow differences (tricuspid/pulmonary valves) in images of no‐gating‐reconstructions, but no differences were found between images reconstructed with camera‐based and navigator‐based respiratory gating. Level of Evidence 3 Technical Efficacy Stage 2
Collapse
Affiliation(s)
- Lukas M Gottwald
- Radiology and Nuclear Medicine, Amsterdam, Amsterdam University Medical Centers, location AMC, The Netherlands
| | - Carmen P S Blanken
- Radiology and Nuclear Medicine, Amsterdam, Amsterdam University Medical Centers, location AMC, The Netherlands
| | - João Tourais
- MR R&D-Clinical Science, Philips Healthcare, Best, The Netherlands.,Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.,Magnetic Resonance Systems Lab, Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Jouke Smink
- MR R&D-Clinical Science, Philips Healthcare, Best, The Netherlands
| | - R Nils Planken
- Cardiology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | | | - Lilian J Meijboom
- Radiology and Nuclear Medicine, Amsterdam, Amsterdam University Medical Centers, location AMC, The Netherlands
| | - Bram F Coolen
- Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Gustav J Strijkers
- Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Radiology and Nuclear Medicine, Amsterdam, Amsterdam University Medical Centers, location AMC, The Netherlands
| | - Pim van Ooij
- Radiology and Nuclear Medicine, Amsterdam, Amsterdam University Medical Centers, location AMC, The Netherlands
| |
Collapse
|
27
|
Fidock B, Archer G, Barker N, Elhawaz A, Al-Mohammad A, Rothman A, Hose R, Hall IR, Grech E, Briffa N, Lewis N, van der Geest RJ, Zhang JM, Zhong L, Swift AJ, Wild JM, De Gárate E, Bucciarelli-Ducci C, Bax JJ, Plein S, Myerson S, Garg P. Standard and emerging CMR methods for mitral regurgitation quantification. Int J Cardiol 2021; 331:316-321. [PMID: 33548381 PMCID: PMC8040969 DOI: 10.1016/j.ijcard.2021.01.066] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 01/04/2021] [Accepted: 01/27/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND There are several methods to quantify mitral regurgitation (MR) by cardiovascular magnetic resonance (CMR). The interoperability of these methods and their reproducibility remains undetermined. OBJECTIVE To determine the agreement and reproducibility of different MR quantification methods by CMR across all aetiologies. METHODS Thirty-five patients with MR were recruited (primary MR = 12, secondary MR = 10 and MVR = 13). Patients underwent CMR, including cines and four-dimensional flow (4D flow). Four methods were evaluated: MRStandard (left ventricular stroke volume - aortic forward flow by phase contrast), MRLVRV (left ventricular stroke volume - right ventricular stroke volume), MRJet (direct jet quantification by 4D flow) and MRMVAV (mitral forward flow by 4D flow - aortic forward flow by 4D flow). For all cases and MR types, 520 MR volumes were recorded by these 4 methods for intra-/inter-observer tests. RESULTS In primary MR, MRMVAV and MRLVRV were comparable to MRStandard (P > 0.05). MRJet resulted in significantly higher MR volumes when compared to MRStandard (P < 0.05) In secondary MR and MVR cases, all methods were comparable. In intra-observer tests, MRMVAV demonstrated least bias with best limits of agreement (bias = -0.1 ml, -8 ml to 7.8 ml, P = 0.9) and best concordance correlation coefficient (CCC = 0.96, P < 0.01). In inter-observer tests, for primary MR and MVR, least bias and highest CCC were observed for MRMVAV. For secondary MR, bias was lowest for MRJet (-0.1 ml, PNS). CONCLUSION CMR methods of MR quantification demonstrate agreement in secondary MR and MVR. In primary MR, this was not observed. Across all types of MR, MRMVAV quantification demonstrated the highest reproducibility and consistency.
Collapse
Affiliation(s)
| | | | | | | | - Abdallah Al-Mohammad
- University of Sheffield, Sheffield, UK; Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | | | - Rod Hose
- University of Sheffield, Sheffield, UK
| | - Ian R Hall
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Ever Grech
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Norman Briffa
- University of Sheffield, Sheffield, UK; Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Nigel Lewis
- University of Sheffield, Sheffield, UK; Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | | | | | | | | | | | | | | | - Jeroen J Bax
- Leiden University Medical Centre, Leiden, the Netherlands
| | | | | | | |
Collapse
|
28
|
Validation of non-contrast multiple overlapping thin-slab 4D-flow cardiac magnetic resonance imaging. Magn Reson Imaging 2020; 74:223-231. [PMID: 33035638 DOI: 10.1016/j.mri.2020.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/31/2020] [Accepted: 10/04/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Cardiac magnetic resonance (CMR) flow quantification is typically performed using 2D phase-contrast (PC) imaging of a plane perpendicular to flow. 3D-PC imaging (4D-flow) allows offline quantification anywhere in a thick slab, but is often limited by suboptimal signal, potentially alleviated by contrast enhancement. We developed a non-contrast 4D-flow sequence, which acquires multiple overlapping thin slabs (MOTS) to minimize signal loss, and hypothesized that it could improve image quality, diagnostic accuracy, and aortic flow measurements compared to non-contrast single-slab approach. METHODS We prospectively studied 20 patients referred for transesophageal echocardiography (TEE), who underwent CMR (GE, 3 T). 2D-PC images of the aortic valve and three 4D-flow datasets covering the heart were acquired, including single-slab, pre- and post-contrast, and non-contrast MOTS. Each 4D-flow dataset was interpreted blindly for ≥moderate valve disease and compared to TEE. Flow visualization through each valve was scored (0 to 4), and aortic-valve flow measured on each 4D-flow dataset and compared to 2D-PC reference. RESULTS Diagnostic quality visualization was achieved with the pre- and post-contrast 4D-flow acquisitions in 25% and 100% valves, respectively (scores 0.9 ± 1.1 and 3.8 ± 0.5), and in 58% with the non-contrast MOTS (1.6 ± 1.1). Accuracy of detection of valve disease was 75%, 92% and 82%, respectively. Aortic flow measurements were possible in 53%, 95% and in 89% patients, respectively. The correlation between pre-contrast single-slab measurements and 2D-PC reference was weak (r = 0.21), but improved with both contrast enhancement (r = 0.71) and with MOTS (r = 0.67). CONCLUSIONS Although non-contrast MOTS 4D-flow improves valve function visualization and diagnostic accuracy, a significant proportion of valves cannot be accurately assessed. However, aortic flow measurements using non-contrast MOTS is feasible and reaches similar accuracy to that of contrast-enhanced 4D-flow.
Collapse
|
29
|
Catapano F, Pambianchi G, Cundari G, Rebelo J, Cilia F, Carbone I, Catalano C, Francone M, Galea N. 4D flow imaging of the thoracic aorta: is there an added clinical value? Cardiovasc Diagn Ther 2020; 10:1068-1089. [PMID: 32968661 DOI: 10.21037/cdt-20-452] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Four-dimensional (4D) flow MRI has emerged as a powerful non-invasive technique in cardiovascular imaging, enabling to analyse in vivo complex flow dynamics models by quantifying flow parameters and derived features. Deep knowledge of aortic flow dynamics is fundamental to better understand how abnormal flow patterns may promote or worsen vascular diseases. In the perspective of an increasingly personalized and preventive medicine, growing interest is focused on identifying those quantitative functional features which are early predictive markers of pathological evolution. The thoracic aorta and its spectrum of diseases, as the first area of application and development of 4D flow MRI and supported by an extensive experimental validation, represents the ideal model to introduce this technique into daily clinical practice. The purpose of this review is to describe the impact of 4D flow MRI in the assessment of the thoracic aorta and its most common affecting diseases, providing an overview of the actual clinical applications and describing the potential role of derived advanced hemodynamic measures in tailoring follow-up and treatment.
Collapse
Affiliation(s)
- Federica Catapano
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Giacomo Pambianchi
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Giulia Cundari
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - João Rebelo
- Department of Radiology, Centro Hospitalar São João, Alameda Prof. Hernâni Monteiro, Porto, Portugal
| | - Francesco Cilia
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Iacopo Carbone
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Carlo Catalano
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Marco Francone
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Nicola Galea
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.,Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| |
Collapse
|
30
|
Saunderson CED, Paton MF, Chowdhary A, Brown LAE, Gierula J, Sengupta A, Kelly C, Chew PG, Das A, Craven TP, van der Geest RJ, Higgins DM, Zhong L, Witte KK, Greenwood JP, Plein S, Garg P, Swoboda PP. Feasibility and validation of trans-valvular flow derived by four-dimensional flow cardiovascular magnetic resonance imaging in pacemaker recipients. Magn Reson Imaging 2020; 74:46-55. [PMID: 32889092 PMCID: PMC7674584 DOI: 10.1016/j.mri.2020.08.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 08/26/2020] [Accepted: 08/27/2020] [Indexed: 02/09/2023]
Affiliation(s)
- Christopher E D Saunderson
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK
| | - Maria F Paton
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK
| | - Amrit Chowdhary
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK
| | - Louise A E Brown
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK
| | - John Gierula
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK
| | - Anshuman Sengupta
- Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Christopher Kelly
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK
| | - Pei G Chew
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK
| | - Arka Das
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK
| | - Thomas P Craven
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK
| | - Rob J van der Geest
- Division of Image Processing, Leiden University Medical Centre, Leiden, the Netherlands
| | | | - Liang Zhong
- National Heart Research Institute Singapore, National Heart Centre Singapore, Duke-NUS Medical School, National University of Singapore, Singapore
| | - Klaus K Witte
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK
| | - John P Greenwood
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK
| | - Sven Plein
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK
| | - Pankaj Garg
- Academic Radiology, Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Peter P Swoboda
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, UK.
| |
Collapse
|
31
|
Wiesemann S, Schmitter S, Demir A, Prothmann M, Schwenke C, Chawla A, von Knobelsdorff-Brenkenhoff F, Greiser A, Jin N, Bollache E, Markl M, Schulz-Menger J. Impact of sequence type and field strength (1.5, 3, and 7T) on 4D flow MRI hemodynamic aortic parameters in healthy volunteers. Magn Reson Med 2020; 85:721-733. [PMID: 32754969 DOI: 10.1002/mrm.28450] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 06/22/2020] [Accepted: 07/08/2020] [Indexed: 01/15/2023]
Abstract
PURPOSE 4D flow magnetic resonance imaging (4D-MRI) allows time-resolved visualization of blood flow patterns, quantification of volumes, velocities, and advanced parameters, such as wall shear stress (WSS). As 4D-MRI enters the clinical arena, standardization and awareness of confounders are important. Our aim was to evaluate the equivalence of 4D flow-derived aortic hemodynamics in healthy volunteers using different sequences and field strengths. METHODS 4D-MRI was acquired in 10 healthy volunteers at 1.5T using three different prototype sequences, at 3T and at 7T (Siemens Healthineers). After evaluation of diagnostic quality in three segments (ascending-, descending aorta, aortic arch), peak velocity, flow volumes, and WSS were investigated. Equivalence limits for comparison of field strengths/sequences were based on the limits of Bland-Altman analyses of the intraobserver variability. RESULTS Non-diagnostic quality was found in 10/144 segments, 9/10 were obtained at 7T. Apart for the comparison of forward flow between sequence 1 and 3, the differences in measurements between field strengths/sequences exceeded the range of agreement. Significant differences were found between field strengths/sequences for forward flow (1.5T vs. 3T, 3T vs. 7T, sequence 1 vs. 3, 2 vs. 3 [P < .001]), WSS (1.5T vs. 3T [P < .05], sequence 1 vs. 2, 1 vs. 3, 2 vs. 3 [P < .001]), and peak velocity (1.5T vs. 7T, sequence 1 vs. 3 [P > .001]). All parameters at all field strengths/with all sequences correlated moderately to strongly (r ≥ 0.5). CONCLUSION Data from all sequences could be acquired and resulting images showed sufficient quality for further analysis. However, the variability of the measurements of peak velocity, flow volumes, and WSS was higher when comparing field strengths/sequences as the equivalence limits defined by the intraobserver assessments.
Collapse
Affiliation(s)
- Stephanie Wiesemann
- Department of Cardiology and Nephrology, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine and HELIOS Hospital Berlin Buch, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Sebastian Schmitter
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Aylin Demir
- Department of Cardiology and Nephrology, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine and HELIOS Hospital Berlin Buch, Berlin, Germany
| | - Marcel Prothmann
- Department of Cardiology and Nephrology, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine and HELIOS Hospital Berlin Buch, Berlin, Germany
| | | | - Ashish Chawla
- Khoo Teck Puat Hospital, Yishun Central, Singapore, Singapore
| | - Florian von Knobelsdorff-Brenkenhoff
- Department of Cardiology and Nephrology, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine and HELIOS Hospital Berlin Buch, Berlin, Germany.,Clinic Agatharied, Department of Cardiology, Ludwig-Maximilians-University Munich, Hausham, Germany
| | | | - Ning Jin
- Siemens Medical Solutions, Columbus, Ohio, USA
| | - Emilie Bollache
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France
| | - Michael Markl
- Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jeanette Schulz-Menger
- Department of Cardiology and Nephrology, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine and HELIOS Hospital Berlin Buch, Berlin, Germany.,DZHK (German Center for Cardiovascular Research), partner site Berlin, Berlin, Germany
| |
Collapse
|
32
|
Validation of four-dimensional flow cardiovascular magnetic resonance for aortic stenosis assessment. Sci Rep 2020; 10:10569. [PMID: 32601326 PMCID: PMC7324609 DOI: 10.1038/s41598-020-66659-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 05/18/2020] [Indexed: 11/18/2022] Open
Abstract
The management of patients with aortic stenosis (AS) crucially depends on accurate diagnosis. The main aim of this study were to validate the four-dimensional flow (4D flow) cardiovascular magnetic resonance (CMR) methods for AS assessment. Eighteen patients with clinically severe AS were recruited. All patients had pre-valve intervention 6MWT, echocardiography and CMR with 4D flow. Of these, ten patients had a surgical valve replacement, and eight patients had successful transcatheter aortic valve implantation (TAVI). TAVI patients had invasive pressure gradient assessments. A repeat assessment was performed at 3–4 months to assess the remodelling response. The peak pressure gradient by 4D flow was comparable to an invasive pressure gradient (54 ± 26 mmHG vs 50 ± 34 mmHg, P = 0.67). However, Doppler yielded significantly higher pressure gradient compared to invasive assessment (61 ± 32 mmHG vs 50 ± 34 mmHg, P = 0.0002). 6MWT was associated with 4D flow CMR derived pressure gradient (r = −0.45, P = 0.01) and EOA (r = 0.54, P < 0.01) but only with Doppler EOA (r = 0.45, P = 0.01). Left ventricular mass regression was better associated with 4D flow derived pressure gradient change (r = 0.64, P = 0.04). 4D flow CMR offers an alternative method for non-invasive assessment of AS. In addition, 4D flow derived valve metrics have a superior association to prognostically relevant 6MWT and LV mass regression than echocardiography.
Collapse
|
33
|
Age-associated changes in 4D flow CMR derived Tricuspid Valvular Flow and Right Ventricular Blood Flow Kinetic Energy. Sci Rep 2020; 10:9908. [PMID: 32555252 PMCID: PMC7303161 DOI: 10.1038/s41598-020-66958-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 04/20/2020] [Indexed: 12/30/2022] Open
Abstract
Assessment of right ventricular (RV) diastolic function is not routinely carried out. This is due to standard two-dimensional imaging techniques being unreliable. Four-dimensional flow (4D flow) derived right ventricular blood flow kinetic energy assessment could circumvent the issues of the current imaging modalities. It also remains unknown whether there is an association between right ventricular blood flow kinetic energy (KE) and healthy ageing. We hypothesise that healthy ageing requires maintaining normal RV intra-cavity blood flow as quantified using KE method. The main objective of this study was to investigate the effect of healthy ageing on tricuspid through-plane flow and right ventricular blood flow kinetic energy. In this study, fifty-three healthy participants received a 4D flow cardiovascular magnetic resonance (CMR) scan on 1.5 T Philips Ingenia. Cine segmentation and 4D flow analysis were performed using dedicated software. Standard statistical methods were carried out to investigate the associations. Both RV E-wave KEiEDV (r = −0.3, P = 0.04) and A-wave KEiEDV (r = 0.42, P < 0.01) showed an association with healthy ageing. Additionally, the right ventricular blood flow KEiEDV E/A ratio demonstrated the strongest association with healthy ageing (r = −0.53, P < 0.01) when compared to all RV functional and haemodynamic parameters. Furthermore, in a multivariate regression model, KEiEDV E/A ratio and 4D flow derived tricuspid valve stroke volume demonstrated independent association to healthy ageing (beta −0.02 and 0.68 respectively, P < 0.01). Ageing is independently associated with 4D flow derived tricuspid stroke volume and RV blood flow KE E/A ratio. These novel 4D flow CMR derived imaging markers have future potential for RV diastolic assessment.
Collapse
|
34
|
Abstract
Magnetic resonance imaging (MRI) has become an important tool for the clinical evaluation of patients with cardiac and vascular diseases. Since its introduction in the late 1980s, quantitative flow imaging with MRI has become a routine part of standard-of-care cardiothoracic and vascular MRI for the assessment of pathological changes in blood flow in patients with cardiovascular disease. More recently, time-resolved flow imaging with velocity encoding along all three flow directions and three-dimensional (3D) anatomic coverage (4D flow MRI) has been developed and applied to enable comprehensive 3D visualization and quantification of hemodynamics throughout the human circulatory system. This article provides an overview of the use of 4D flow applications in different cardiac and vascular regions in the human circulatory system, with a focus on using 4D flow MRI in cardiothoracic and cerebrovascular diseases.
Collapse
Affiliation(s)
- Gilles Soulat
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA
| | - Patrick McCarthy
- Division of Cardiac Surgery, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois 60208, USA
| |
Collapse
|
35
|
Dillinger H, Walheim J, Kozerke S. On the limitations of echo planar 4D flow MRI. Magn Reson Med 2020; 84:1806-1816. [PMID: 32212352 DOI: 10.1002/mrm.28236] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 02/06/2020] [Accepted: 02/07/2020] [Indexed: 01/09/2023]
Abstract
PURPOSE To compare EPI and GRE readout in high-flow velocity regimes and evaluate their impact on measurement accuracy in silico and in vitro. THEORY AND METHODS Phase-contrast sequences for EPI and GRE were simulated using CFD velocity data to assess displacement artifacts as well as effective spatial resolution. In silico findings were validated experimentally using a steady flow phantom. RESULTS For EPI factor 5 and simulated stenotic flow with peak velocity of 2.2 m s - 1 , displacement artifacts resulted in misregistration of 7.3 mm at echo time and the effective resolution was locally reduced by factors 5 and 8 compared to GRE for flow along phase and frequency encoding directions, respectively. In vitro, a maximum velocity difference between EPI factor 5 and GRE of 0.97 m s - 1 was found. CONCLUSIONS Four-dimensional flow MRI using EPI readout results not only in considerable velocity misregistration but also in spatially varying degradation of resolution. The proposed work indicates that EPI is inferior to standard GRE for 4D flow MRI.
Collapse
Affiliation(s)
- Hannes Dillinger
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Jonas Walheim
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| |
Collapse
|
36
|
Abstract
Mitral regurgitation (MR) is a common valvular heart disease and is the second most frequent indication for heart valve surgery in Western countries. Echocardiography is the recommended first-line test for the assessment of valvular heart disease, but cardiovascular magnetic resonance imaging (CMR) provides complementary information, especially for assessing MR severity and to plan the timing of intervention. As new CMR techniques for the assessment of MR have arisen, standardizing CMR protocols for research and clinical studies has become important in order to optimize diagnostic utility and support the wider use of CMR for the clinical assessment of MR. In this Consensus Statement, we provide a detailed description of the current evidence on the use of CMR for MR assessment, highlight its current clinical utility, and recommend a standardized CMR protocol and report for MR assessment. In this Consensus Statement, Garg and colleagues describe the current evidence on the use of cardiovascular magnetic resonance imaging for the assessment of mitral regurgitation, highlight its current clinical utility, and recommend a standardized imaging protocol and report.
Collapse
|
37
|
Zhang JM, Tan RS, Zhang S, Geest RVD, Garg P, Leong BR, Bryant J, Tangcharoen T, Zhao X, Tan JL, Westenberg JJ, Zhong L. Comparison of Image Acquisition Techniques in Four-Dimensional Flow Cardiovascular MR on 3 Tesla in Volunteers and Tetralogy of Fallot Patients. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2019; 2018:1115-1118. [PMID: 30440585 DOI: 10.1109/embc.2018.8512412] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Four-dimensional phase-contrast (PC) velocity-encoded flow magnetic resonance imaging (4D flow MRI) is a potentially valuable tool for studying cardiovascular hemodynamics for disease monitoring and/or treatment planning. In this study we compared the performance of two 4D flow MRI pulse sequences - echo-planar imaging (EPI) and segmented gradient-echo (turbo-field-echo or TFE on vendor's platform) - on a clinical 3T system in 6 human subjects including 3 patients with Tetralogy of Fallot (TOF). For aortic flow rate, the coefficients of variation (COV) between 2D and 4D EPI were 7.0% and 7.7% for controls and patients respectively. The corresponding COV between 2D and 4D TFE were 19.0% and 18.3% for controls and patients respectively. The COV between 4D TFE and 4D EPI were larger than 18.7% in kinetic energy analysis. 4D EPI demonstrated acceptable accuracy of intra-cardiac flow quantification, which was also shown in the ex-vivo phantom measurements.
Collapse
|
38
|
Viola F, Dyverfeldt P, Carlhäll CJ, Ebbers T. Data Quality and Optimal Background Correction Order of Respiratory-Gated k-Space Segmented Spoiled Gradient Echo (SGRE) and Echo Planar Imaging (EPI)-Based 4D Flow MRI. J Magn Reson Imaging 2019; 51:885-896. [PMID: 31332874 PMCID: PMC7027768 DOI: 10.1002/jmri.26879] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 07/10/2019] [Accepted: 07/10/2019] [Indexed: 12/23/2022] Open
Abstract
Background A reduction in scan time of 4D Flow MRI would facilitate clinical application. A recent study indicates that echo‐planar imaging (EPI) 4D Flow MRI allows for a reduction in scan time and better data quality than the recommended k‐space segmented spoiled gradient echo (SGRE) sequence. It was argued that the poor data quality of SGRE was related to the nonrecommended absence of respiratory motion compensation. However, data quality can also be affected by the background offset compensation. Purpose To compare the data quality of respiratory motion‐compensated SGRE and EPI 4D Flow MRI and their dependence on background correction (BC) order. Study Type Retrospective. Subjects Eighteen healthy subjects (eight female, mean age 32 ± 5 years). Field Strength and Sequence 1.5 T. [Correction added on July 26, 2019, after first online publication: The preceding field strength was corrected.] SGRE and EPI‐based 4D Flow MRI. Assessment Data quality was investigated visually and by comparing flows through the cardiac valves and aorta. Measurements were obtained from transvalvular flow and pathline analysis. Statistical Tests Linear regression and Bland–Altman analysis were used. Wilcoxon test was used for comparison of visual scoring. Student's t‐test was used for comparison of flow volumes. Results No significant difference was found by visual inspection (P = 0.08). Left ventricular (LV) flows were strongly and very strongly associated with SGRE and EPI, respectively (R2 = 0.86–0.94 SGRE; 0.71–0.79 EPI, BC0–4). LV and right ventricular (RV) outflows and LV pathline flows were very strongly associated (R2 = 0.93–0.95 SGRE; 0.88–0.91 EPI, R2 = 0.91–0.95 SGRE; 0.91–0.93 EPI, BC1–4). EPI LV outflow was lower than the short‐axis‐based stroke volume. EPI RV outflow and proximal descending aortic flow were lower than SGREs. Data Conclusion Both sequences yielded good internal data consistency when an adequate background correction was applied. Second and first BC order were considered sufficient for transvalvular flow analysis in SGRE and EPI, respectively. Higher BC orders were preferred for particle tracing. Level of Evidence 4 Technical Efficacy Stage 1 J. Magn. Reson. Imaging 2020;51:885–896.
Collapse
Affiliation(s)
- Federica Viola
- Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Petter Dyverfeldt
- Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Carl-Johan Carlhäll
- Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,Department of Clinical Physiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Tino Ebbers
- Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| |
Collapse
|
39
|
Bollache E, Knott KD, Jarvis K, Boubertakh R, Dolan RS, Camaioni C, Collins L, Scully P, Rabin S, Treibel T, Carr JC, van Ooij P, Collins JD, Geiger J, Moon JC, Barker AJ, Petersen SE, Markl M. Two-Minute k-Space and Time-accelerated Aortic Four-dimensional Flow MRI: Dual-Center Study of Feasibility and Impact on Velocity and Wall Shear Stress Quantification. Radiol Cardiothorac Imaging 2019; 1:e180008. [PMID: 32076666 DOI: 10.1148/ryct.2019180008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 03/12/2019] [Accepted: 04/23/2019] [Indexed: 01/12/2023]
Abstract
Purpose To investigate the two-center feasibility of highly k-space and time (k-t)-accelerated 2-minute aortic four-dimensional (4D) flow MRI and to evaluate its performance for the quantification of velocities and wall shear stress (WSS). Materials and Methods This cross-sectional study prospectively included 68 participants (center 1, 11 healthy volunteers [mean age ± standard deviation, 61 years ± 15] and 16 patients with aortic disease [mean age, 60 years ± 10]; center 2, 14 healthy volunteers [mean age, 38 years ± 13] and 27 patients with aortic or cardiac disease [mean age, 78 years ± 18]). Each participant underwent highly accelerated 4D flow MRI (k-t acceleration, acceleration factor of 5) of the thoracic aorta. For comparison, conventional 4D flow MRI (acceleration factor of 2) was acquired in the participants at center 1 (n = 27). Regional aortic peak systolic velocities and three-dimensional WSS were quantified. Results k-t-accelerated scan times (center 1, 2:03 minutes ± 0:29; center 2, 2:06 minutes ± 0:20) were significantly reduced compared with conventional 4D flow MRI (center 1, 12:38 minutes ± 2:25; P < .0001). Overall good agreement was found between the two techniques (absolute differences ≤15%), but proximal aortic WSS was significantly underestimated in patients by using k-t-accelerated 4D flow when compared with conventional 4D flow (P ≤ .03). k-t-accelerated 4D flow MRI was reproducible (intra- and interobserver intraclass correlation coefficient ≥0.98) and identified significantly increased peak velocities and WSS in patients with stenotic (P ≤ .003) or bicuspid (P ≤ .04) aortic valves compared with healthy volunteers. In addition, k-t-accelerated 4D flow MRI-derived velocities and WSS were inversely related to age (r ≥-0.53; P ≤ .03) over all healthy volunteers. Conclusion k-t-accelerated aortic 4D flow MRI providing 2-minute scan times was feasible and reproducible at two centers. Although consistent healthy aging- and disease-related changes in aortic hemodynamics were observed, care should be taken when considering WSS, which can be underestimated in patients.© RSNA, 2019See also the commentary by François in this issue.
Collapse
Affiliation(s)
- Emilie Bollache
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Kristopher D Knott
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Kelly Jarvis
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Redha Boubertakh
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Ryan Scott Dolan
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Claudia Camaioni
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Louise Collins
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Paul Scully
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Sydney Rabin
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Thomas Treibel
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - James C Carr
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Pim van Ooij
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Jeremy D Collins
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Julia Geiger
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - James C Moon
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Alex J Barker
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Steffen E Petersen
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| | - Michael Markl
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611 (E.B., K.J., R.S.D., L.C., S.R., J.C.C., J.D.C., A.J.B., M.M.); Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France (E.B.); Barts Heart Centre, London, England (K.D.K., R.B., C.C., P.S., T.T., J.C.M., S.E.P.); Institute of Cardiovascular Science, University College London, London, England (K.D.K., P.S., T.T., J.C.M.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (P.v.O.); Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland (J.G.); NIHR Barts Biomedical Research Unit, William Harvey Research Institute, Queen Mary University of London, London, England (S.E.P.); and Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, Ill (M.M.)
| |
Collapse
|
40
|
François CJ. Fast and Feasible: Two-Minute k-Space and Time-accelerated Aortic Four-dimensional Flow MRI. Radiol Cardiothorac Imaging 2019; 1:e190102. [PMID: 33778506 PMCID: PMC7970095 DOI: 10.1148/ryct.2019190102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 06/04/2019] [Indexed: 06/12/2023]
|
41
|
Barker N, Fidock B, Johns CS, Kaur H, Archer G, Rajaram S, Hill C, Thomas S, Karunasaagarar K, Capener D, Al-Mohammad A, Rothman A, Kiely DG, Swift AJ, Wild JM, Garg P. A Systematic Review of Right Ventricular Diastolic Assessment by 4D Flow CMR. BIOMED RESEARCH INTERNATIONAL 2019; 2019:6074984. [PMID: 31001557 PMCID: PMC6437735 DOI: 10.1155/2019/6074984] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Accepted: 02/26/2019] [Indexed: 11/17/2022]
Abstract
BACKGROUND Four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) is a noninvasive novel imaging technology that can be used to visualise and assess right ventricular function. The aim of this systematic review is to summarise the literature available on 4D flow CMR methods used to determine right ventricular diastolic function. METHODS A systematic review of current literature was carried out to ascertain what is known about right ventricular assessment by quantification of 4D flow CMR. Structured searches were carried out on Medline and EMBASE in December 2018. PG and NB screened the titles and abstracts for relevance. RESULTS Of the 20 articles screened, 5 studies met eligibility for systematic review. After a further search on pubmed 1 more relevant article was found and added to the review. CONCLUSIONS These proposed methods using 4D flow CMR can quantify right ventricular diastolic assessment. The evidence gathered is mainly observational, featuring single-centred studies. Larger, multicentre studies are required to validate the proposed techniques, evaluate reproducibility, and investigate the clinical applicability that 4D flow CMR offers compared to standard practices. PROSPERO registration number is CRD42019121492.
Collapse
Affiliation(s)
- Natasha Barker
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Benjamin Fidock
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Christopher S. Johns
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Harjinder Kaur
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Gareth Archer
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Smitha Rajaram
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Catherine Hill
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Steven Thomas
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | | | - David Capener
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Abdullah Al-Mohammad
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Alexander Rothman
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - David G. Kiely
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
- Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK
| | - Andrew J. Swift
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - James M. Wild
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Pankaj Garg
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| |
Collapse
|
42
|
Bock J, Töger J, Bidhult S, Markenroth Bloch K, Arvidsson P, Kanski M, Arheden H, Testud F, Greiser A, Heiberg E, Carlsson M. Validation and reproducibility of cardiovascular 4D-flow MRI from two vendors using 2 × 2 parallel imaging acceleration in pulsatile flow phantom and in vivo with and without respiratory gating. Acta Radiol 2019; 60:327-337. [PMID: 30479136 PMCID: PMC6402051 DOI: 10.1177/0284185118784981] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background 4D-flow magnetic resonance imaging (MRI) is increasingly used. Purpose To validate 4D-flow sequences in phantom and in vivo, comparing volume flow
and kinetic energy (KE) head-to-head, with and without respiratory
gating. Material and Methods Achieva dStream (Philips Healthcare) and MAGNETOM Aera (Siemens Healthcare)
1.5-T scanners were used. Phantom validation measured pulsatile,
three-dimensional flow with 4D-flow MRI and laser particle imaging
velocimetry (PIV) as reference standard. Ten healthy participants underwent
three cardiac MRI examinations each, consisting of cine-imaging, 2D-flow
(aorta, pulmonary artery), and 2 × 2 accelerated 4D-flow with (Resp+) and
without (Resp−) respiratory gating. Examinations were acquired consecutively
on both scanners and one examination repeated within two weeks. Volume flow
in the great vessels was compared between 2D- and 4D-flow. KE were
calculated for all time phases and voxels in the left ventricle. Results Phantom results showed high accuracy and precision for both scanners.
In vivo, higher accuracy and precision (P < 0.001) was
found for volume flow for the Aera prototype with Resp+ (–3.7 ± 10.4 mL,
r = 0.89) compared to the Achieva product sequence (–17.8 ± 18.6 mL,
r = 0.56). 4D-flow Resp− on Aera had somewhat larger bias (–9.3 ± 9.6 mL,
r = 0.90) compared to Resp+ (P = 0.005). KE measurements
showed larger differences between scanners on the same day compared to the
same scanner at different days. Conclusion Sequence-specific in vivo validation of 4D-flow is needed before clinical
use. 4D-flow with the Aera prototype sequence with a clinically acceptable
acquisition time (<10 min) showed acceptable bias in healthy controls to
be considered for clinical use. Intra-individual KE comparisons should use
the same sequence.
Collapse
Affiliation(s)
- Jelena Bock
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
| | - Johannes Töger
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
- Department of Diagnostic Radiology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Sebastian Bidhult
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
- Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden
| | - Karin Markenroth Bloch
- Philips Healthcare, Lund, Sweden
- Lund University Bioimaging Center, Lund University, Lund, Sweden
| | - Per Arvidsson
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
| | - Mikael Kanski
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
| | - Håkan Arheden
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
| | | | | | - Einar Heiberg
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
- Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden
| | - Marcus Carlsson
- Department of Clinical Sciences, Lund University, Clinical Physiology, Skåne University Hospital, Lund, Sweden
| |
Collapse
|
43
|
Ebel S, Hübner L, Köhler B, Kropf S, Preim B, Jung B, Grothoff M, Gutberlet M. Validation of two accelerated 4D flow MRI sequences at 3 T: a phantom study. Eur Radiol Exp 2019; 3:10. [PMID: 30806827 PMCID: PMC6391502 DOI: 10.1186/s41747-019-0089-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 02/01/2019] [Indexed: 12/15/2022] Open
Abstract
Background Four-dimensional (4D) flow magnetic resonance imaging (MRI) sequences with advanced parallel imaging have the potential to reduce scan time with equivalent image quality and accuracy compared with standard two-dimensional (2D) flow MRI. We compared 4D flow to standard 2D flow sequences using a constant and pulsatile flow phantom at 3 T. Methods Two accelerated 4D flow sequences (GRAPPA2 and k-t-GRAPPA5) were evaluated regarding the concordance of flow volumes, flow velocities, and reproducibility as well as dependency on measuring plane and velocity encoding (Venc). The calculated flow volumes and peak velocities of the phantom were used as reference standard. Flow analysis was performed using the custom-made software “Bloodline”. Results No significant differences in flow volume were found between the 2D, both 4D flow MRI sequences, and the pump reference (p = 0.994) or flow velocities (p = 0.998) in continuous and pulsatile flow. An excellent correlation (R = 0.99–1.0) with a reference standard and excellent reproducibility of measurements (R = 0.99) was achieved for all sequences. A Venc overestimated by up to two times had no impact on flow measurements. However, misaligned measuring planes led to an increasing underestimation of flow volume and mean velocity in 2D flow accuracy, while both 4D flow measurements were not affected. Scan time was significantly shorter for k-t-GRAPPA5 (1:54 ± 0:01 min, mean ± standard deviation) compared to GRAPPA2 (3:56 ± 0:02 min) (p = 0.002). Conclusions Both 4D flow sequences demonstrated equal agreement with 2D flow measurements, without impact of Venc overestimation and plane misalignment. The highly accelerated k-t-GRAPPA5 sequence yielded results similar to those of GRAPPA2.
Collapse
Affiliation(s)
- Sebastian Ebel
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig Strümpellstrasse 39, 04289, Leipzig, Germany.
| | - Lisa Hübner
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig Strümpellstrasse 39, 04289, Leipzig, Germany
| | - Benjamin Köhler
- Department of Simulations and Graphics, University of Magdeburg, Magdeburg, Germany
| | - Siegfried Kropf
- Institute for Biometrics and Medical Informatics, University of Magdeburg, Magdeburg, Germany
| | - Bernhard Preim
- Department of Simulations and Graphics, University of Magdeburg, Magdeburg, Germany
| | - Bernd Jung
- Department of Diagnostic, Interventional and Paediatric Radiology, University of Bern, Bern, Switzerland
| | - Matthias Grothoff
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig Strümpellstrasse 39, 04289, Leipzig, Germany
| | - Matthias Gutberlet
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig Strümpellstrasse 39, 04289, Leipzig, Germany
| |
Collapse
|
44
|
Garg P, van der Geest RJ, Swoboda PP, Crandon S, Fent GJ, Foley JRJ, Dobson LE, Al Musa T, Onciul S, Vijayan S, Chew PG, Brown LAE, Bissell M, Hassell MECJ, Nijveldt R, Elbaz MSM, Westenberg JJM, Dall'Armellina E, Greenwood JP, Plein S. Left ventricular thrombus formation in myocardial infarction is associated with altered left ventricular blood flow energetics. Eur Heart J Cardiovasc Imaging 2019; 20:108-117. [PMID: 30137274 PMCID: PMC6302263 DOI: 10.1093/ehjci/jey121] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 05/31/2018] [Accepted: 08/02/2018] [Indexed: 01/16/2023] Open
Abstract
Aims The main aim of this study was to characterize changes in the left ventricular (LV) blood flow kinetic energy (KE) using four-dimensional (4D) flow cardiovascular magnetic resonance imaging (CMR) in patients with myocardial infarction (MI) with/without LV thrombus (LVT). Methods and results This is a prospective cohort study of 108 subjects [controls = 40, MI patients without LVT (LVT- = 36), and MI patients with LVT (LVT+ = 32)]. All underwent CMR including whole-heart 4D flow. LV blood flow KE wall calculated using the formula: KE=12 ρblood . Vvoxel . v2, where ρ = density, V = volume, v = velocity, and was indexed to LV end-diastolic volume. Patient with MI had significantly lower LV KE components than controls (P < 0.05). LVT+ and LVT- patients had comparable infarct size and apical regional wall motion score (P > 0.05). The relative drop in A-wave KE from mid-ventricle to apex and the proportion of in-plane KE were higher in patients with LVT+ compared with LVT- (87 ± 9% vs. 78 ± 14%, P = 0.02; 40 ± 5% vs. 36 ± 7%, P = 0.04, respectively). The time difference of peak E-wave KE demonstrated a significant rise between the two groups (LVT-: 38 ± 38 ms vs. LVT+: 62 ± 56 ms, P = 0.04). In logistic-regression, the relative drop in A-wave KE (beta = 11.5, P = 0.002) demonstrated the strongest association with LVT. Conclusion Patients with MI have reduced global LV flow KE. Additionally, MI patients with LVT have significantly reduced and delayed wash-in of the LV. The relative drop of distal intra-ventricular A-wave KE, which represents the distal late-diastolic wash-in of the LV, is most strongly associated with the presence of LVT.
Collapse
Affiliation(s)
- Pankaj Garg
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| | - Rob J van der Geest
- The Department of Radiology, Leiden University Medical Center, Postalzone C2-S, RC Leiden, The Netherlands
| | - Peter P Swoboda
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| | - Saul Crandon
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| | - Graham J Fent
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| | - James R J Foley
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| | - Laura E Dobson
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| | - Tarique Al Musa
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| | - Sebastian Onciul
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| | | | - Pei G Chew
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| | - Louise A E Brown
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| | - Malenka Bissell
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| | - Mariëlla E C J Hassell
- Radboudumc, Department of Cardiology, Geert Grooteplein Zuid 10, GA Nijmegen, The Netherlands
| | - Robin Nijveldt
- Radboudumc, Department of Cardiology, Geert Grooteplein Zuid 10, GA Nijmegen, The Netherlands
| | - Mohammed S M Elbaz
- The Department of Radiology, Leiden University Medical Center, Postalzone C2-S, RC Leiden, The Netherlands
| | - Jos J M Westenberg
- The Department of Radiology, Leiden University Medical Center, Postalzone C2-S, RC Leiden, The Netherlands
| | | | - John P Greenwood
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| | - Sven Plein
- Division of Biomedical Imaging, LICAMM, University of Leeds, Leeds, UK
| |
Collapse
|
45
|
Kamphuis VP, Roest AAW, Ajmone Marsan N, van den Boogaard PJ, Kroft LJM, Aben JP, Bax JJ, de Roos A, Lamb HJ, Westenberg JJM. Automated Cardiac Valve Tracking for Flow Quantification with Four-dimensional Flow MRI. Radiology 2018; 290:70-78. [PMID: 30375924 DOI: 10.1148/radiol.2018180807] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To compare four-dimensional flow MRI with automated valve tracking to manual valve tracking in patients with acquired or congenital heart disease and healthy volunteers. Materials and Methods In this retrospective study, data were collected from 114 patients and 46 volunteers who underwent four-dimensional flow MRI at 1.5 T or 3.0 T from 2006 through 2017. Among the 114 patients, 33 had acquired and 81 had congenital heart disease (median age, 17 years; interquartile range [IQR], 13-49 years), 51 (45%) were women, and 63 (55%) were men. Among the 46 volunteers (median age, 28 years; IQR, 22-36 years), there were 19 (41%) women and 27 (59%) men. Two orthogonal cine views of each valve were used for valve tracking. Wilcoxon signed-rank test was used to compare analysis times, net forward volumes (NFVs), and regurgitant fractions. Intra- and interobserver variability was tested by using intraclass correlation coefficients (ICCs). Results Analysis time was shorter for automated versus manual tracking (all patients, 14 minutes [IQR, 12-15 minutes] vs 25 minutes [IQR, 20-25 minutes]; P < .001). Although overall differences in NFV and regurgitant fraction were comparable between both methods, NFV variation over four valves was smaller for automated versus manual tracking (all patients, 4.9% [IQR, 3.3%-6.7%] vs 9.8% [IQR, 5.1%-14.7%], respectively; P < .001). Regurgitation severity was discordant for seven pulmonary valves, 22 mitral valves, and 21 tricuspid valves. Intra- and interobserver agreement for automated tracking was excellent for NFV assessment (intra- and interobserver, ICC ≥ 0.99) and strong to excellent for regurgitant fraction assessment (intraobserver, ICC ≥ 0.94; interobserver, ICC ≥ 0.89). Conclusion Automated valve tracking reduces analysis time and improves reliability of valvular flow quantification with four-dimensional flow MRI in patients with acquired or congenital heart disease and in healthy volunteers. © RSNA, 2018 Online supplemental material is available for this article. See also the editorial by François in this issue.
Collapse
Affiliation(s)
- Vivian P Kamphuis
- From the Department of Pediatrics, Division of Pediatric Cardiology (V.P.K., A.A.W.R.), Department of Radiology (P.J.v.d.B., L.J.M.K., A.d.R., H.J.L., J.J.M.W.), and Department of Cardiology (N.A.M., J.J.B.), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands; Netherlands Heart Institute, Utrecht, the Netherlands (V.P.K.); and Pie Medical Imaging BV, Maastricht, the Netherlands (J.P.A.)
| | - Arno A W Roest
- From the Department of Pediatrics, Division of Pediatric Cardiology (V.P.K., A.A.W.R.), Department of Radiology (P.J.v.d.B., L.J.M.K., A.d.R., H.J.L., J.J.M.W.), and Department of Cardiology (N.A.M., J.J.B.), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands; Netherlands Heart Institute, Utrecht, the Netherlands (V.P.K.); and Pie Medical Imaging BV, Maastricht, the Netherlands (J.P.A.)
| | - Nina Ajmone Marsan
- From the Department of Pediatrics, Division of Pediatric Cardiology (V.P.K., A.A.W.R.), Department of Radiology (P.J.v.d.B., L.J.M.K., A.d.R., H.J.L., J.J.M.W.), and Department of Cardiology (N.A.M., J.J.B.), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands; Netherlands Heart Institute, Utrecht, the Netherlands (V.P.K.); and Pie Medical Imaging BV, Maastricht, the Netherlands (J.P.A.)
| | - Pieter J van den Boogaard
- From the Department of Pediatrics, Division of Pediatric Cardiology (V.P.K., A.A.W.R.), Department of Radiology (P.J.v.d.B., L.J.M.K., A.d.R., H.J.L., J.J.M.W.), and Department of Cardiology (N.A.M., J.J.B.), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands; Netherlands Heart Institute, Utrecht, the Netherlands (V.P.K.); and Pie Medical Imaging BV, Maastricht, the Netherlands (J.P.A.)
| | - Lucia J M Kroft
- From the Department of Pediatrics, Division of Pediatric Cardiology (V.P.K., A.A.W.R.), Department of Radiology (P.J.v.d.B., L.J.M.K., A.d.R., H.J.L., J.J.M.W.), and Department of Cardiology (N.A.M., J.J.B.), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands; Netherlands Heart Institute, Utrecht, the Netherlands (V.P.K.); and Pie Medical Imaging BV, Maastricht, the Netherlands (J.P.A.)
| | - Jean-Paul Aben
- From the Department of Pediatrics, Division of Pediatric Cardiology (V.P.K., A.A.W.R.), Department of Radiology (P.J.v.d.B., L.J.M.K., A.d.R., H.J.L., J.J.M.W.), and Department of Cardiology (N.A.M., J.J.B.), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands; Netherlands Heart Institute, Utrecht, the Netherlands (V.P.K.); and Pie Medical Imaging BV, Maastricht, the Netherlands (J.P.A.)
| | - Jeroen J Bax
- From the Department of Pediatrics, Division of Pediatric Cardiology (V.P.K., A.A.W.R.), Department of Radiology (P.J.v.d.B., L.J.M.K., A.d.R., H.J.L., J.J.M.W.), and Department of Cardiology (N.A.M., J.J.B.), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands; Netherlands Heart Institute, Utrecht, the Netherlands (V.P.K.); and Pie Medical Imaging BV, Maastricht, the Netherlands (J.P.A.)
| | - Albert de Roos
- From the Department of Pediatrics, Division of Pediatric Cardiology (V.P.K., A.A.W.R.), Department of Radiology (P.J.v.d.B., L.J.M.K., A.d.R., H.J.L., J.J.M.W.), and Department of Cardiology (N.A.M., J.J.B.), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands; Netherlands Heart Institute, Utrecht, the Netherlands (V.P.K.); and Pie Medical Imaging BV, Maastricht, the Netherlands (J.P.A.)
| | - Hildo J Lamb
- From the Department of Pediatrics, Division of Pediatric Cardiology (V.P.K., A.A.W.R.), Department of Radiology (P.J.v.d.B., L.J.M.K., A.d.R., H.J.L., J.J.M.W.), and Department of Cardiology (N.A.M., J.J.B.), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands; Netherlands Heart Institute, Utrecht, the Netherlands (V.P.K.); and Pie Medical Imaging BV, Maastricht, the Netherlands (J.P.A.)
| | - Jos J M Westenberg
- From the Department of Pediatrics, Division of Pediatric Cardiology (V.P.K., A.A.W.R.), Department of Radiology (P.J.v.d.B., L.J.M.K., A.d.R., H.J.L., J.J.M.W.), and Department of Cardiology (N.A.M., J.J.B.), Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands; Netherlands Heart Institute, Utrecht, the Netherlands (V.P.K.); and Pie Medical Imaging BV, Maastricht, the Netherlands (J.P.A.)
| |
Collapse
|
46
|
Impact of Age and Diastolic Function on Novel, 4D flow CMR Biomarkers of Left Ventricular Blood Flow Kinetic Energy. Sci Rep 2018; 8:14436. [PMID: 30258186 PMCID: PMC6158175 DOI: 10.1038/s41598-018-32707-5] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 09/06/2018] [Indexed: 01/01/2023] Open
Abstract
Two-dimensional (2D) methods of assessing mitral inflow velocities are pre-load dependent, limiting their reliability for evaluating diastolic function. Left ventricular (LV) blood flow kinetic energy (KE) derived from four-dimensional flow cardiovascular magnetic resonance imaging (4D flow CMR) may offer improvements. It remains unclear whether 4D LV blood flow KE parameters are associated with physiological factors, such as age when compared to 2D mitral inflow velocities. Fifty-three healthy volunteers underwent standard CMR, plus 4D flow acquisition. LV blood flow KE parameters demonstrated good reproducibility with mean coefficient of variation of 6 ± 2% and an accuracy of 99% with a precision of 97%. The LV blood flow KEiEDV E/A ratio demonstrated good association to the 2D mitral inflow E/A ratio (r = 0.77, P < 0.01), with both decreasing progressively with advancing age (P < 0.01). Furthermore, peak E-wave KEiEDV and A-wave KEiEDV displayed a stronger association to age than the corresponding 2D metrics, peak E-wave and A-wave velocity (r = −0.51 vs −0.17 and r = 0.65 vs 0.46). Peak E-wave KEiEDV decreases whilst peak A-wave KEiEDV increases with advancing age. This study presents values for various LV blood flow KE parameters in health, as well as demonstrating that they show stronger and independent correlations to age than standard diastolic metrics.
Collapse
|
47
|
Garg P, Crandon S, Swoboda PP, Fent GJ, Foley JRJ, Chew PG, Brown LAE, Vijayan S, Hassell MECJ, Nijveldt R, Bissell M, Elbaz MSM, Al-Mohammad A, Westenberg JJM, Greenwood JP, van der Geest RJ, Plein S, Dall’Armellina E. Left ventricular blood flow kinetic energy after myocardial infarction - insights from 4D flow cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2018; 20:61. [PMID: 30165869 PMCID: PMC6117925 DOI: 10.1186/s12968-018-0483-6] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 07/20/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Myocardial infarction (MI) leads to complex changes in left ventricular (LV) haemodynamics that are linked to clinical outcomes. We hypothesize that LV blood flow kinetic energy (KE) is altered in MI and is associated with LV function and infarct characteristics. This study aimed to investigate the intra-cavity LV blood flow KE in controls and MI patients, using cardiovascular magnetic resonance (CMR) four-dimensional (4D) flow assessment. METHODS Forty-eight patients with MI (acute-22; chronic-26) and 20 age/gender-matched healthy controls underwent CMR which included cines and whole-heart 4D flow. Patients also received late gadolinium enhancement imaging for infarct assessment. LV blood flow KE parameters were indexed to LV end-diastolic volume and include: averaged LV, minimal, systolic, diastolic, peak E-wave and peak A-wave KEiEDV. In addition, we investigated the in-plane proportion of LV KE (%) and the time difference (TD) to peak E-wave KE propagation from base to mid-ventricle was computed. Association of LV blood flow KE parameters to LV function and infarct size were investigated in all groups. RESULTS LV KEiEDV was higher in controls than in MI patients (8.5 ± 3 μJ/ml versus 6.5 ± 3 μJ/ml, P = 0.02). Additionally, systolic, minimal and diastolic peak E-wave KEiEDV were lower in MI (P < 0.05). In logistic-regression analysis, systolic KEiEDV (Beta = - 0.24, P < 0.01) demonstrated the strongest association with the presence of MI. In multiple-regression analysis, infarct size was most strongly associated with in-plane KE (r = 0.5, Beta = 1.1, P < 0.01). In patients with preserved LV ejection fraction (EF), minimal and in-plane KEiEDV were reduced (P < 0.05) and time difference to peak E-wave KE propagation during diastole increased (P < 0.05) when compared to controls with normal EF. CONCLUSIONS Reduction in LV systolic function results in reduction in systolic flow KEiEDV. Infarct size is independently associated with the proportion of in-plane LV KE. Degree of LV impairment is associated with TD of peak E-wave KE. In patient with preserved EF post MI, LV blood flow KE mapping demonstrated significant changes in the in-plane KE, the minimal KEiEDV and the TD. These three blood flow KE parameters may offer novel methods to identify and describe this patient population.
Collapse
Affiliation(s)
- Pankaj Garg
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Saul Crandon
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Peter P. Swoboda
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Graham J. Fent
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - James R. J. Foley
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Pei G. Chew
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Louise A. E. Brown
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Sethumadhavan Vijayan
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Mariëlla E. C. J. Hassell
- Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Robin Nijveldt
- Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Malenka Bissell
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Mohammed S. M. Elbaz
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Jos J. M. Westenberg
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - John P. Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Rob J. van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Erica Dall’Armellina
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| |
Collapse
|
48
|
Engelhard S, Voorneveld J, Vos HJ, Westenberg JJM, Gijsen FJH, Taimr P, Versluis M, de Jong N, Bosch JG, Reijnen MMPJ, Groot Jebbink E. High-Frame-Rate Contrast-enhanced US Particle Image Velocimetry in the Abdominal Aorta: First Human Results. Radiology 2018; 289:119-125. [PMID: 30015586 DOI: 10.1148/radiol.2018172979] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To study the feasibility of high-frame-rate (HFR) contrast material-enhanced (CE) ultrasound particle image velocimetry (PIV), or echo PIV, in the abdominal aorta. Materials and Methods Fifteen healthy participants (six men; median age, 23 years [age range, 18-34 years]; median body mass index, 20.3 kg/m2 [range, 17.3-24.9 kg/m2]) underwent HFR CE US. US microbubbles were injected at incremental doses (0.25, 0.5, 0.75, and 1.5 mL), with each dose followed by US measurement to determine the optimal dosage. Different US mechanical index values were evaluated (0.09, 0.06, 0.03, and 0.01) in a diverging wave acquisition scheme. PIV analysis was performed via pairwise cross-correlation of all captured images. Participants also underwent phase-contrast MRI. The echo PIV and phase-contrast MRI velocity profiles were compared via calculation of similarity index and relative difference in peak velocity. Results Visualization of the aortic bifurcation with HFR CE US was successful in all participants. Optimal echo PIV results were achieved with the lowest contrast agent dose of 0.25 mL in combination with the lowest mechanical indexes (0.01 or 0.03). Substantial bubble destruction occurred at higher mechanical indexes (≥0.06). Flow patterns were qualitatively similar in the echo PIV and MR images. The echo PIV and MRI velocity profiles showed good agreement (similarity index, 0.98 and 0.99; difference in peak velocity, 8.5% and 17.0% in temporal and spatial profiles, respectively). Conclusion Quantification of blood flow in the human abdominal aorta with US particle image velocimetry (echo PIV) is feasible. Use of echo PIV has potential in the clinical evaluation of aortic disease. © RSNA, 2018 Online supplemental material is available for this article.
Collapse
Affiliation(s)
- Stefan Engelhard
- From the Department of Vascular Surgery, Rijnstate Hospital, Wagnerlaan 55, 6815 AD Arnhem, the Netherlands (S.E., M.M.P.J.R., E.G.J.); Department of Biomedical Engineering, Thorax Center ( J.V., H.J.V., F.J.H.G., N.d.J., J.G.B.), and Department of Gastroenterology and Hepatology (P.T.), Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands ( J.J.M.W.); Physics of Fluids Group, Technical Medical ( TechMed ) Centre, University of Twente, Enschede, the Netherlands (M.V., E.G.J.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (N.d.J.)
| | - Jason Voorneveld
- From the Department of Vascular Surgery, Rijnstate Hospital, Wagnerlaan 55, 6815 AD Arnhem, the Netherlands (S.E., M.M.P.J.R., E.G.J.); Department of Biomedical Engineering, Thorax Center ( J.V., H.J.V., F.J.H.G., N.d.J., J.G.B.), and Department of Gastroenterology and Hepatology (P.T.), Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands ( J.J.M.W.); Physics of Fluids Group, Technical Medical ( TechMed ) Centre, University of Twente, Enschede, the Netherlands (M.V., E.G.J.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (N.d.J.)
| | - Hendrik J Vos
- From the Department of Vascular Surgery, Rijnstate Hospital, Wagnerlaan 55, 6815 AD Arnhem, the Netherlands (S.E., M.M.P.J.R., E.G.J.); Department of Biomedical Engineering, Thorax Center ( J.V., H.J.V., F.J.H.G., N.d.J., J.G.B.), and Department of Gastroenterology and Hepatology (P.T.), Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands ( J.J.M.W.); Physics of Fluids Group, Technical Medical ( TechMed ) Centre, University of Twente, Enschede, the Netherlands (M.V., E.G.J.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (N.d.J.)
| | - Jos J M Westenberg
- From the Department of Vascular Surgery, Rijnstate Hospital, Wagnerlaan 55, 6815 AD Arnhem, the Netherlands (S.E., M.M.P.J.R., E.G.J.); Department of Biomedical Engineering, Thorax Center ( J.V., H.J.V., F.J.H.G., N.d.J., J.G.B.), and Department of Gastroenterology and Hepatology (P.T.), Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands ( J.J.M.W.); Physics of Fluids Group, Technical Medical ( TechMed ) Centre, University of Twente, Enschede, the Netherlands (M.V., E.G.J.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (N.d.J.)
| | - Frank J H Gijsen
- From the Department of Vascular Surgery, Rijnstate Hospital, Wagnerlaan 55, 6815 AD Arnhem, the Netherlands (S.E., M.M.P.J.R., E.G.J.); Department of Biomedical Engineering, Thorax Center ( J.V., H.J.V., F.J.H.G., N.d.J., J.G.B.), and Department of Gastroenterology and Hepatology (P.T.), Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands ( J.J.M.W.); Physics of Fluids Group, Technical Medical ( TechMed ) Centre, University of Twente, Enschede, the Netherlands (M.V., E.G.J.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (N.d.J.)
| | - Pavel Taimr
- From the Department of Vascular Surgery, Rijnstate Hospital, Wagnerlaan 55, 6815 AD Arnhem, the Netherlands (S.E., M.M.P.J.R., E.G.J.); Department of Biomedical Engineering, Thorax Center ( J.V., H.J.V., F.J.H.G., N.d.J., J.G.B.), and Department of Gastroenterology and Hepatology (P.T.), Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands ( J.J.M.W.); Physics of Fluids Group, Technical Medical ( TechMed ) Centre, University of Twente, Enschede, the Netherlands (M.V., E.G.J.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (N.d.J.)
| | - Michel Versluis
- From the Department of Vascular Surgery, Rijnstate Hospital, Wagnerlaan 55, 6815 AD Arnhem, the Netherlands (S.E., M.M.P.J.R., E.G.J.); Department of Biomedical Engineering, Thorax Center ( J.V., H.J.V., F.J.H.G., N.d.J., J.G.B.), and Department of Gastroenterology and Hepatology (P.T.), Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands ( J.J.M.W.); Physics of Fluids Group, Technical Medical ( TechMed ) Centre, University of Twente, Enschede, the Netherlands (M.V., E.G.J.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (N.d.J.)
| | - Nico de Jong
- From the Department of Vascular Surgery, Rijnstate Hospital, Wagnerlaan 55, 6815 AD Arnhem, the Netherlands (S.E., M.M.P.J.R., E.G.J.); Department of Biomedical Engineering, Thorax Center ( J.V., H.J.V., F.J.H.G., N.d.J., J.G.B.), and Department of Gastroenterology and Hepatology (P.T.), Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands ( J.J.M.W.); Physics of Fluids Group, Technical Medical ( TechMed ) Centre, University of Twente, Enschede, the Netherlands (M.V., E.G.J.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (N.d.J.)
| | - Johan G Bosch
- From the Department of Vascular Surgery, Rijnstate Hospital, Wagnerlaan 55, 6815 AD Arnhem, the Netherlands (S.E., M.M.P.J.R., E.G.J.); Department of Biomedical Engineering, Thorax Center ( J.V., H.J.V., F.J.H.G., N.d.J., J.G.B.), and Department of Gastroenterology and Hepatology (P.T.), Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands ( J.J.M.W.); Physics of Fluids Group, Technical Medical ( TechMed ) Centre, University of Twente, Enschede, the Netherlands (M.V., E.G.J.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (N.d.J.)
| | - Michel M P J Reijnen
- From the Department of Vascular Surgery, Rijnstate Hospital, Wagnerlaan 55, 6815 AD Arnhem, the Netherlands (S.E., M.M.P.J.R., E.G.J.); Department of Biomedical Engineering, Thorax Center ( J.V., H.J.V., F.J.H.G., N.d.J., J.G.B.), and Department of Gastroenterology and Hepatology (P.T.), Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands ( J.J.M.W.); Physics of Fluids Group, Technical Medical ( TechMed ) Centre, University of Twente, Enschede, the Netherlands (M.V., E.G.J.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (N.d.J.)
| | - Erik Groot Jebbink
- From the Department of Vascular Surgery, Rijnstate Hospital, Wagnerlaan 55, 6815 AD Arnhem, the Netherlands (S.E., M.M.P.J.R., E.G.J.); Department of Biomedical Engineering, Thorax Center ( J.V., H.J.V., F.J.H.G., N.d.J., J.G.B.), and Department of Gastroenterology and Hepatology (P.T.), Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands ( J.J.M.W.); Physics of Fluids Group, Technical Medical ( TechMed ) Centre, University of Twente, Enschede, the Netherlands (M.V., E.G.J.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (N.d.J.)
| |
Collapse
|
49
|
Scan–rescan reproducibility of diastolic left ventricular kinetic energy, viscous energy loss and vorticity assessment using 4D flow MRI: analysis in healthy subjects. Int J Cardiovasc Imaging 2018; 34:905-920. [DOI: 10.1007/s10554-017-1291-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 12/19/2017] [Indexed: 11/26/2022]
|
50
|
Montalba C, Urbina J, Sotelo J, Andia ME, Tejos C, Irarrazaval P, Hurtado DE, Valverde I, Uribe S. Variability of 4D flow parameters when subjected to changes in MRI acquisition parameters using a realistic thoracic aortic phantom. Magn Reson Med 2017; 79:1882-1892. [DOI: 10.1002/mrm.26834] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 06/02/2017] [Accepted: 06/19/2017] [Indexed: 01/28/2023]
Affiliation(s)
- Cristian Montalba
- Biomedical Imaging CenterPontificia Universidad Católica de ChileSantiago Chile
| | - Jesus Urbina
- Biomedical Imaging CenterPontificia Universidad Católica de ChileSantiago Chile
- Department of RadiologySchool of Medicine, Pontificia Universidad Católica de ChileSantiago Chile
| | - Julio Sotelo
- Biomedical Imaging CenterPontificia Universidad Católica de ChileSantiago Chile
- Department of Electrical EngineeringPontificia Universidad Católica de ChileSantiago Chile
| | - Marcelo E. Andia
- Biomedical Imaging CenterPontificia Universidad Católica de ChileSantiago Chile
- Department of RadiologySchool of Medicine, Pontificia Universidad Católica de ChileSantiago Chile
| | - Cristian Tejos
- Biomedical Imaging CenterPontificia Universidad Católica de ChileSantiago Chile
- Department of Electrical EngineeringPontificia Universidad Católica de ChileSantiago Chile
| | - Pablo Irarrazaval
- Biomedical Imaging CenterPontificia Universidad Católica de ChileSantiago Chile
- Department of Electrical EngineeringPontificia Universidad Católica de ChileSantiago Chile
| | - Daniel E. Hurtado
- Department of Structural and Geotechnical EngineeringPontificia Universidad Católica de ChileSantiago Chile
- Institute for Biological and Medical EngineeringSchools of Engineering, Medicine and Biological Sciences, Pontificia Universidad Católica de ChileSantiago Chile
| | - Israel Valverde
- Hospital Virgen del RocioUniversidad de SevillaSeville Spain
- Institute of Biomedicine of SevilleUniversidad de SevillaSeville Spain
| | - Sergio Uribe
- Biomedical Imaging CenterPontificia Universidad Católica de ChileSantiago Chile
- Department of RadiologySchool of Medicine, Pontificia Universidad Católica de ChileSantiago Chile
| |
Collapse
|