1
|
Voges I, Raimondi F, McMahon CJ, Ait-Ali L, Babu-Narayan SV, Botnar RM, Burkhardt B, Gabbert DD, Grosse-Wortmann L, Hasan H, Hansmann G, Helbing WA, Krupickova S, Latus H, Martini N, Martins D, Muthurangu V, Ojala T, van Ooij P, Pushparajah K, Rodriguez-Palomares J, Sarikouch S, Grotenhuis HB, Greil FG. Clinical impact of novel CMR technology on patients with congenital heart disease. A scientific statement of the Association for European Pediatric and Congenital Cardiology (AEPC) and the European Association of Cardiovascular Imaging (EACVI) of the ESC. Eur Heart J Cardiovasc Imaging 2024:jeae172. [PMID: 38985851 DOI: 10.1093/ehjci/jeae172] [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: 06/28/2024] [Accepted: 07/01/2024] [Indexed: 07/12/2024] Open
Abstract
Cardiovascular magnetic resonance (CMR) imaging is recommended in patients with congenital heart disease (CHD) in clinical practice guidelines as the imaging standard for a large variety of diseases. As CMR is evolving, novel techniques are becoming available. Some of them are already used clinically, whereas others still need further evaluation. In this statement the authors give an overview of relevant new CMR techniques for the assessment of CHD. Studies with reference values for these new techniques are listed in the supplement.
Collapse
Affiliation(s)
- Inga Voges
- Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Campus Kiel, Germany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Lübeck/Kiel, Germany
| | | | - Colin J McMahon
- Department of Paediatric Cardiology, Children's Health Ireland at Crumlin, Dublin 12, Ireland
| | - Lamia Ait-Ali
- Institute of clinical Physiology CNR, Massa, Italy
- Heart Hospital, G. Monastery foundation, Massa, Italy
| | - Sonya V Babu-Narayan
- Royal Brompton Hospital, Part of Guy's and St Thomas' NHS Foundation Trust, Sydney Street, London, SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, London, England
| | - René M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
- Institute for Biological and Medical Engineering and School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Barbara Burkhardt
- Pediatric Heart Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Dominik D Gabbert
- Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Campus Kiel, Germany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Lübeck/Kiel, Germany
| | - Lars Grosse-Wortmann
- Division of Cardiology, Oregon Health and Science University Hospital, Portland, Oregon, United States
| | - Hosan Hasan
- Department of Pediatric Cardiology and Critical Care, Hannover Medical School, Hannover, Germany
- European Pediatric Pulmonary Vascular Disease Network, Berlin, Germany
| | - Georg Hansmann
- Department of Pediatric Cardiology and Critical Care, Hannover Medical School, Hannover, Germany
- European Pediatric Pulmonary Vascular Disease Network, Berlin, Germany
| | - Willem A Helbing
- Department of Pediatrics, division of cardiology, and department of Radiology, Erasmus MC-Sophia children's hospital, Rotterdam, the Netherlands
| | - Sylvia Krupickova
- Royal Brompton Hospital, Part of Guy's and St Thomas' NHS Foundation Trust, Sydney Street, London, SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, London, England
- Department of Paediatric Cardiology, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK
| | - Heiner Latus
- Clinic for Pediatric Cardiology and Congenital Heart Disease Klinikum Stuttgart Germany
| | - Nicola Martini
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Duarte Martins
- Pediatric Cardiology Department, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal
| | - Vivek Muthurangu
- Centre for Translational Cardiovascular Imaging, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Tiina Ojala
- New Children's Hospital Pediatric Research Center, Helsinki University Hospital, Helsinki, Finland
| | - Pim van Ooij
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Center, location AMC, Amsterdam, the Netherlands
- Department of Pediatric Cardiology, Wilhelmina Children's Hospital/University Medical Center Utrecht, Utrecht, the Netherlands
| | - Kuberan Pushparajah
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
- Department of Congenital Heart Disease, Evelina London Children's Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Jose Rodriguez-Palomares
- CIBER Cardiovascular, Instituto de Salud Carlos III, Madrid, Spain
- European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart, Amsterdam, the Netherlands
- Servicio de Cardiología, Hospital Universitario Vall Hebrón. Institut de Recerca Vall Hebrón (VHIR). Departamento de Medicina, Universitat Autònoma de Barcelona. Barcelona. Spain
| | - Samir Sarikouch
- Department for Cardiothoracic, Transplant, and Vascular Surgery, Hannover Medical School, Hannover, Germany
| | - Heynric B Grotenhuis
- Department of Pediatric Cardiology, Wilhelmina Children's Hospital/University Medical Center Utrecht, Utrecht, the Netherlands
| | - F Gerald Greil
- Department of Pediatrics, UT Southwestern/Children's Health, 1935 Medical District Drive B3.09, Dallas, TX 75235
| |
Collapse
|
2
|
Park EJ, Lee Y, Lee J. Impact of Deep-Learning Based Reconstruction on Single-Breath-Hold, Single-Shot Fast Spin-Echo in MR Enterography for Crohn's Disease. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2023; 84:1309-1323. [PMID: 38107694 PMCID: PMC10721413 DOI: 10.3348/jksr.2023.0008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 03/18/2023] [Accepted: 05/06/2023] [Indexed: 12/19/2023]
Abstract
Purpose To assess the quality of four images obtained using single-breath-hold (SBH), single-shot fast spin-echo (SSFSE) and multiple-breath-hold (MBH) SSFSE with and without deep-learning based reconstruction (DLR) in patients with Crohn's disease. Materials and Methods This study included 61 patients who underwent MR enterography (MRE) for Crohn's disease. The following images were compared: SBH-SSFSE with (SBH-DLR) and without (SBH-conventional reconstruction [CR]) DLR and MBH-SSFSE with (MBH-DLR) and without (MBH-CR) DLR. Two radiologists independently reviewed the overall image quality, artifacts, sharpness, and motion-related signal loss using a 5-point scale. Three inflammatory parameters were evaluated in the ileum, the terminal ileum, and the colon. Moreover, the presence of a spatial misalignment was evaluated. Signal-to-noise ratio (SNR) was calculated at two locations for each sequence. Results DLR significantly improved the image quality, artifacts, and sharpness of the SBH images. No significant differences in scores between MBH-CR and SBH-DLR were detected. SBH-DLR had the highest SNR (p < 0.001). The inter-reader agreement for inflammatory parameters was good to excellent (κ = 0.76-0.95) and the inter-sequence agreement was nearly perfect (κ = 0.92-0.94). Misalignment artifacts were observed more frequently in the MBH images than in the SBH images (p < 0.001). Conclusion SBH-DLR demonstrated equivalent quality and performance compared to MBH-CR. Furthermore, it can be acquired in less than half the time, without multiple BHs and reduce slice misalignments.
Collapse
|
3
|
Braunstorfer L, Romanowicz J, Powell AJ, Pattee J, Browne LP, van der Geest RJ, Moghari MH. Non-contrast free-breathing whole-heart 3D cine cardiovascular magnetic resonance with a novel 3D radial leaf trajectory. Magn Reson Imaging 2022; 94:64-72. [PMID: 36122675 DOI: 10.1016/j.mri.2022.09.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 08/18/2022] [Accepted: 09/13/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE To develop and validate a non-contrast free-breathing whole-heart 3D cine steady-state free precession (SSFP) sequence with a novel 3D radial leaf trajectory. METHODS We used a respiratory navigator to trigger acquisition of 3D cine data at end-expiration to minimize respiratory motion in our 3D cine SSFP sequence. We developed a novel 3D radial leaf trajectory to reduce gradient jumps and associated eddy-current artifacts. We then reconstructed the 3D cine images with a resolution of 2.0mm3 using an iterative nonlinear optimization algorithm. Prospective validation was performed by comparing ventricular volumetric measurements from a conventional breath-hold 2D cine ventricular short-axis stack against the non-contrast free-breathing whole-heart 3D cine dataset in each patient (n = 13). RESULTS All 3D cine SSFP acquisitions were successful and mean scan time was 07:09 ± 01:31 min. End-diastolic ventricular volumes for left ventricle (LV) and right ventricle (RV) measured from the 3D datasets were smaller than those from 2D (LV: 159.99 ± 42.99 vs. 173.16 ± 47.42; RV: 180.35 ± 46.08 vs. 193.13 ± 49.38; p-value≤0.044; bias<8%), whereas ventricular end-systolic volumes were more comparable (LV: 79.12 ± 26.78 vs. 78.46 ± 25.35; RV: 97.18 ± 32.35 vs. 102.42 ± 32.53; p-value≥0.190, bias<6%). The 3D cine data had a lower subjective image quality score. CONCLUSION Our non-contrast free-breathing whole-heart 3D cine sequence with novel leaf trajectory was robust and yielded smaller ventricular end-diastolic volumes compared to 2D cine imaging. It has the potential to make examinations easier and more comfortable for patients.
Collapse
Affiliation(s)
- Lukas Braunstorfer
- Department of Cardiology, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA, USA; Department of Informatics, Technical University of Munich, Munich, BY, Germany.
| | - Jennifer Romanowicz
- Department of Cardiology, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA, USA; Department of Pediatrics, Section of Cardiology, Children's Hospital Colorado, School of Medicine, The University of Colorado, CO, USA
| | - Andrew J Powell
- Department of Cardiology, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Jack Pattee
- Department of Biostatistics and Informatics, Colorado School of Public Health, CO, USA
| | - Lorna P Browne
- Department of Radiology, Children's Hospital Colorado, and School of Medicine, The University of Colorado, CO, USA
| | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Mehdi H Moghari
- Department of Radiology, Children's Hospital Colorado, and School of Medicine, The University of Colorado, CO, USA
| |
Collapse
|
4
|
Impact of Respiratory Gating on Hemodynamic Parameters from 4D Flow MRI. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12062943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The hemodynamic parameters from 4D flow datasets have shown promising diagnostic value in different cardiovascular pathologies. However, the behavior of these parameters can be affected when the 4D flow data are corrupted by respiratory motion. The purpose of this work was to perform a quantitative comparison between hemodynamic parameters computed from 4D flow cardiac MRI both with and without respiratory self-gating. We considered 4D flow MRI data from 15 healthy volunteers (10 men and 5 women, 30.40 ± 6.23 years of age) that were acquired at 3T. Using a semiautomatic segmentation process of the aorta, we obtained the hemodynamic parameters from the 4D flow MRI, with and without respiratory self-gating. A statistical analysis, using the Wilcoxon signed-rank test and Bland–Altman, was performed to compare the hemodynamic parameters from both acquisitions. We found that the calculations of the hemodynamic parameters from 4D flow data that were acquired without respiratory self-gating showed underestimated values in the aortic arch, and the descending and diaphragmatic aorta. We also found a significant variability of the hemodynamic parameters in the ascending aorta of healthy volunteers when comparing both methods. The 4D flow MRI requires respiratory compensation to provide reliable calculations of hemodynamic parameters.
Collapse
|
5
|
Peng Y, Su X, Hu L, Wang Q, Ouyang R, Sun A, Guo C, Yao X, Zhang Y, Wang L, Zhong Y. Feasibility of Three-Dimensional Balanced Steady-State Free Precession Cine Magnetic Resonance Imaging Combined with an Image Denoising Technique to Evaluate Cardiac Function in Children with Repaired Tetralogy of Fallot. Korean J Radiol 2021; 22:1525-1536. [PMID: 34448382 PMCID: PMC8390812 DOI: 10.3348/kjr.2020.0850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 03/06/2021] [Accepted: 03/13/2021] [Indexed: 11/18/2022] Open
Abstract
Objective To investigate the feasibility of cine three-dimensional (3D) balanced steady-state free precession (b-SSFP) imaging combined with a non-local means (NLM) algorithm for image denoising in evaluating cardiac function in children with repaired tetralogy of Fallot (rTOF). Materials and Methods Thirty-five patients with rTOF (mean age, 12 years; range, 7–18 years) were enrolled to undergo cardiac cine image acquisition, including two-dimensional (2D) b-SSFP, 3D b-SSFP, and 3D b-SSFP combined with NLM. End-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), and ejection fraction (EF) of the two ventricles were measured and indexed by body surface index. Acquisition time and image quality were recorded and compared among the three imaging sequences. Results 3D b-SSFP with denoising vs. 2D b-SSFP had high correlation coefficients for EDV, ESV, SV, and EF of the left (0.959–0.991; p < 0.001) as well as right (0.755–0.965; p < 0.001) ventricular metrics. The image acquisition time ± standard deviation (SD) was 25.1 ± 2.4 seconds for 3D b-SSFP compared with 277.6 ± 0.7 seconds for 2D b-SSFP, indicating a significantly shorter time with the 3D than the 2D sequence (p < 0.001). Image quality score was better with 3D b-SSFP combined with denoising than with 3D b-SSFP (mean ± SD, 3.8 ± 0.6 vs. 3.5 ± 0.6; p = 0.005). Signal-to-noise ratios for blood and myocardium as well as contrast between blood and myocardium were higher for 3D b-SSFP combined with denoising than for 3D b-SSFP (p < 0.05 for all but septal myocardium). Conclusion The 3D b-SSFP sequence can significantly reduce acquisition time compared to the 2D b-SSFP sequence for cine imaging in the evaluation of ventricular function in children with rTOF, and its quality can be further improved by combining it with an NLM denoising method.
Collapse
Affiliation(s)
- YaFeng Peng
- Diagnostic Imaging Center of Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - XinYu Su
- University of Shanghai for Science and Technology, Institute of Medical Imaging Engineering, School of Medical Instrument and Food Engineering, Shanghai, China
| | - LiWei Hu
- Diagnostic Imaging Center of Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qian Wang
- Diagnostic Imaging Center of Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - RongZhen Ouyang
- Diagnostic Imaging Center of Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - AiMin Sun
- Diagnostic Imaging Center of Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chen Guo
- Diagnostic Imaging Center of Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - XiaoFen Yao
- Diagnostic Imaging Center of Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yong Zhang
- MR Research, GE Healthcare, Shanghai, China
| | - LiJia Wang
- University of Shanghai for Science and Technology, Institute of Medical Imaging Engineering, School of Medical Instrument and Food Engineering, Shanghai, China
| | - YuMin Zhong
- Diagnostic Imaging Center of Shanghai Children's Medical Center Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| |
Collapse
|
6
|
Küstner T, Bustin A, Jaubert O, Hajhosseiny R, Masci PG, Neji R, Botnar R, Prieto C. Fully self-gated free-running 3D Cartesian cardiac CINE with isotropic whole-heart coverage in less than 2 min. NMR IN BIOMEDICINE 2021; 34:e4409. [PMID: 32974984 DOI: 10.1002/nbm.4409] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 08/19/2020] [Accepted: 08/21/2020] [Indexed: 06/11/2023]
Abstract
PURPOSE To develop a novel fast water-selective free-breathing 3D Cartesian cardiac CINE scan with full self-navigation and isotropic whole-heart (WH) coverage. METHODS A free-breathing 3D Cartesian cardiac CINE scan with a water-selective balanced steady-state free precession and a continuous (non-ECG-gated) variable-density Cartesian sampling with spiral profile ordering, out-inward sampling and acquisition-adaptive alternating tiny golden and golden angle increment between spiral arms is proposed. Data is retrospectively binned based on respiratory and cardiac self-navigation signals. A translational respiratory-motion-corrected and cardiac-motion-resolved image is reconstructed with a multi-bin patch-based low-rank reconstruction (MB-PROST) within about 15 min. A respiratory-motion-resolved approach is also investigated. The proposed 3D Cartesian cardiac CINE is acquired in sagittal orientation in 1 min 50 s for 1.9 mm3 isotropic WH coverage. Left ventricular (LV) function parameters and image quality derived from a blinded reading of the proposed 3D CINE framework are compared against conventional multi-slice 2D CINE imaging in 10 healthy subjects and 10 patients with suspected cardiovascular disease. RESULTS The proposed framework provides free-breathing 3D cardiac CINE images with 1.9 mm3 spatial and about 45 ms temporal resolution in a short acquisition time (<2 min). LV function parameters derived from 3D CINE were in good agreement with 2D CINE (10 healthy subjects and 10 patients). Bias and confidence intervals were obtained for end-systolic volume, end-diastolic volume and ejection fraction of 0.1 ± 3.5 mL, -0.6 ± 8.2 mL and -0.1 ± 2.2%, respectively. CONCLUSION The proposed framework enables isotropic 3D Cartesian cardiac CINE under free breathing for fast assessment of cardiac anatomy and function.
Collapse
Affiliation(s)
- Thomas Küstner
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Aurelien Bustin
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Olivier Jaubert
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Reza Hajhosseiny
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Pier Giorgio Masci
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Radhouene Neji
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
- MR Research Collaborations, Siemens Healthcare Limited, Frimley, UK
| | - René Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
- Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
- Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| |
Collapse
|
7
|
Küstner T, Fuin N, Hammernik K, Bustin A, Qi H, Hajhosseiny R, Masci PG, Neji R, Rueckert D, Botnar RM, Prieto C. CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions. Sci Rep 2020; 10:13710. [PMID: 32792507 PMCID: PMC7426830 DOI: 10.1038/s41598-020-70551-8] [Citation(s) in RCA: 101] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 07/31/2020] [Indexed: 11/29/2022] Open
Abstract
Cardiac CINE magnetic resonance imaging is the gold-standard for the assessment of cardiac function. Imaging accelerations have shown to enable 3D CINE with left ventricular (LV) coverage in a single breath-hold. However, 3D imaging remains limited to anisotropic resolution and long reconstruction times. Recently deep learning has shown promising results for computationally efficient reconstructions of highly accelerated 2D CINE imaging. In this work, we propose a novel 4D (3D + time) deep learning-based reconstruction network, termed 4D CINENet, for prospectively undersampled 3D Cartesian CINE imaging. CINENet is based on (3 + 1)D complex-valued spatio-temporal convolutions and multi-coil data processing. We trained and evaluated the proposed CINENet on in-house acquired 3D CINE data of 20 healthy subjects and 15 patients with suspected cardiovascular disease. The proposed CINENet network outperforms iterative reconstructions in visual image quality and contrast (+ 67% improvement). We found good agreement in LV function (bias ± 95% confidence) in terms of end-systolic volume (0 ± 3.3 ml), end-diastolic volume (− 0.4 ± 2.0 ml) and ejection fraction (0.1 ± 3.2%) compared to clinical gold-standard 2D CINE, enabling single breath-hold isotropic 3D CINE in less than 10 s scan and ~ 5 s reconstruction time.
Collapse
Affiliation(s)
- Thomas Küstner
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, Lambeth Wing, London, UK.
| | - Niccolo Fuin
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, Lambeth Wing, London, UK
| | | | - Aurelien Bustin
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, Lambeth Wing, London, UK
| | - Haikun Qi
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, Lambeth Wing, London, UK
| | - Reza Hajhosseiny
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, Lambeth Wing, London, UK
| | - Pier Giorgio Masci
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, Lambeth Wing, London, UK
| | - Radhouene Neji
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, Lambeth Wing, London, UK.,MR Research Collaborations, Siemens Healthcare Limited, Frimley, UK
| | - Daniel Rueckert
- Department of Computing, Imperial College London, London, UK
| | - René M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, Lambeth Wing, London, UK.,Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, Lambeth Wing, London, UK.,Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| |
Collapse
|
8
|
Küstner T, Bustin A, Jaubert O, Hajhosseiny R, Masci PG, Neji R, Botnar R, Prieto C. Isotropic 3D Cartesian single breath-hold CINE MRI with multi-bin patch-based low-rank reconstruction. Magn Reson Med 2020; 84:2018-2033. [PMID: 32250492 DOI: 10.1002/mrm.28267] [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: 10/07/2019] [Revised: 03/08/2020] [Accepted: 03/09/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE To develop a novel acquisition and reconstruction framework for isotropic 3D Cartesian cardiac CINE within a single breath-hold for left ventricle (LV) and whole-heart coverage. METHODS A variable-density Cartesian acquisition with spiral profile ordering, out-inward sampling, and acquisition-adaptive alternating tiny golden/golden angle increment between spiral arms is proposed to provide incoherent and nonredundant sampling within and among cardiac phases. A novel multi-bin patch-based low-rank reconstruction, named MB-PROST, is proposed to exploit redundant information on a local (within a patch), nonlocal (similar patches within a spatial neighborhood), and temporal (among all cardiac phases) scale with an implicit motion alignment among patches. The proposed multi-bin patch-based low-rank reconstruction reconstruction is compared against compressed sensing reconstruction, whereas LV function parameters derived from the proposed 3D CINE framework are compared against those estimated from conventional multislice 2D CINE imaging in 10 healthy subjects and 15 patients. RESULTS The proposed framework provides 3D cardiac CINE images with high spatial (1.9 mm3 ) and temporal resolution (˜50 ms) in a single breath-hold of ˜20 s for LV and ˜26 s for whole-heart coverage in healthy subjects. Shorter breath-hold durations of ˜13 to 15 s are feasible for LV coverage with slightly anisotropic resolution (1.9 × 1.9 × 2.5 mm) in patients. LV function parameters derived from 3D CINE were in good agreement with 2D CINE, with a bias of -0.1 mL/0.1 mL, -0.9 mL/-1.0 mL, -0.1%/-0.8%; and confidence intervals of ±1.7 mL/±3.7 mL, ±1.2 mL/±2.6 mL, and ±1.2%/±3.6% (10 healthy subjects/15 patients) for end-systolic volume, end-diastolic volume, and ejection fraction, respectively. CONCLUSION The proposed framework enables 3D isotropic cardiac CINE in a single breath-hold scan of ˜20 s/˜26 s for LV/whole-heart coverage, showing good agreement with clinical 2D CINE scans in terms of LV functional assessment.
Collapse
Affiliation(s)
- Thomas Küstner
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Aurelien Bustin
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Olivier Jaubert
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Reza Hajhosseiny
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Pier Giorgio Masci
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Radhouene Neji
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK.,MR Research Collaborations, Siemens Healthcare Limited, Frimley, UK
| | - René Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK.,Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK.,Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile
| |
Collapse
|
9
|
Moghari MH, Barthur A, Amaral ME, Geva T, Powell AJ. Free-breathing whole-heart 3D cine magnetic resonance imaging with prospective respiratory motion compensation. Magn Reson Med 2017; 80:181-189. [PMID: 29222852 DOI: 10.1002/mrm.27021] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Revised: 10/11/2017] [Accepted: 10/31/2017] [Indexed: 12/27/2022]
Abstract
PURPOSE To develop and validate a new prospective respiratory motion compensation algorithm for free-breathing whole-heart 3D cine steady-state free precession (SSFP) imaging. METHODS In a 3D cine SSFP sequence, 4 excitations per cardiac cycle are re-purposed to prospectively track heart position. Specifically, their 1D image is reconstructed and routed into the scanner's standard diaphragmatic navigator processing system. If all 4 signals are in end-expiration, cine image data from the entire cardiac cycle is accepted for image reconstruction. Prospective validation was carried out in patients (N = 17) by comparing in each a conventional breath-hold 2D cine ventricular short-axis stack and a free-breathing whole-heart 3D cine data set. RESULTS All 3D cine SSFP acquisitions were successful and the mean scan time was 5.9 ± 2.7 min. Left and right ventricular end-diastolic, end-systolic, and stroke volumes by 3D cine SSFP were all larger than those from 2D cine SSFP. This bias was < 6% except for right ventricular end-systolic volume that was 12%. The 3D cine images had a lower ventricular blood-to-myocardium contrast ratio, contrast-to-noise ratio, mass, and subjective quality score. CONCLUSION The novel prospective respiratory motion compensation method for 3D cine SSFP imaging was robust and efficient and yielded slightly larger ventricular volumes and lower mass compared to breath-hold 2D cine imaging. Magn Reson Med 80:181-189, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
Collapse
Affiliation(s)
- Mehdi H Moghari
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Ashita Barthur
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Maria E Amaral
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Tal Geva
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew J Powell
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
10
|
Odille F, Bustin A, Liu S, Chen B, Vuissoz P, Felblinger J, Bonnemains L. Isotropic 3
D
cardiac cine
MRI
allows efficient sparse segmentation strategies based on 3
D
surface reconstruction. Magn Reson Med 2017; 79:2665-2675. [DOI: 10.1002/mrm.26923] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 08/04/2017] [Accepted: 08/28/2017] [Indexed: 11/07/2022]
Affiliation(s)
- Freddy Odille
- IADI, INSERM U947 and Université de LorraineNancy France
- CIC‐IT 1433, INSERM, CHRU de Nancy and Université de LorraineNancy France
| | - Aurélien Bustin
- IADI, INSERM U947 and Université de LorraineNancy France
- Technische Universität München, Department of Computer ScienceMunich Germany
- GE Global Research Center, General ElectricMunich Germany
| | - Shufang Liu
- IADI, INSERM U947 and Université de LorraineNancy France
- Technische Universität München, Department of Computer ScienceMunich Germany
- GE Global Research Center, General ElectricMunich Germany
| | - Bailiang Chen
- CIC‐IT 1433, INSERM, CHRU de Nancy and Université de LorraineNancy France
| | | | - Jacques Felblinger
- IADI, INSERM U947 and Université de LorraineNancy France
- CIC‐IT 1433, INSERM, CHRU de Nancy and Université de LorraineNancy France
| | - Laurent Bonnemains
- IADI, INSERM U947 and Université de LorraineNancy France
- Department of Cardiothoracic SurgeryCHU Strasbourg and University of StrasbourgStrasbourg France
| |
Collapse
|
11
|
Single-breath-hold 3-D CINE imaging of the left ventricle using Cartesian sampling. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2017; 31:19-31. [DOI: 10.1007/s10334-017-0624-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Revised: 04/19/2017] [Accepted: 05/10/2017] [Indexed: 10/19/2022]
|
12
|
Update on the Role of Cardiac Magnetic Resonance Imaging in Congenital Heart Disease. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2017; 19:2. [PMID: 28144782 DOI: 10.1007/s11936-017-0504-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OPINION STATEMENT Cardiac magnetic resonance imaging (CMR) is an important imaging modality in the evaluation of congenital heart diseases (CHD). CMR has several strengths including good spatial and temporal resolutions, wide field-of-view, and multi-planar imaging capabilities. CMR provides significant advantages for imaging in CHD through its ability to measure function, flow and vessel sizes, create three-dimensional reconstructions, and perform tissue characterization, all in a single imaging study. Thus, CMR is the most comprehensive imaging modality available today for the evaluation of CHD. Newer MRI sequences and post-processing tools will allow further development of quantitative methods of analysis, and opens the door for risk stratification in CHD. CMR also can interface with computer modeling, 3D printing, and other methods of understanding the complex anatomic and physiologic relationships in CHD.
Collapse
|
13
|
Åkesson M, Lehti L, Höglund P, Åkeson P, Wassélius J. Thoracic magnetic resonance venography using Gadofosveset in patients with venous pathology-A comparative study of image quality and inter-rater variability. Phlebology 2016; 32:453-458. [PMID: 27388453 DOI: 10.1177/0268355516656316] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background High-quality non-invasive imaging of the deep venous system in the thorax is challenging, but nevertheless required for diagnosis of vascular pathology as well as for patient selection and preoperative planning for endovascular procedures. Purpose To compare the diagnostic quality of Gadofosveset-enhanced thoracic magnetic resonance venography, seven consecutive patients with suspected or known disease affecting the central thoracic veins were compared to seven consecutive magnetic resonance venography using conventional gadolinium-based contrast agents. Materials and methods Diagnostic capability, defined as the ability to assess vessel patency and pathologic conditions, for the major thoracic deep venous segments was assessed by two-independent readers. Both reviewers rated the overall subjective image quality on a four-graded scale, and inter-rater variability was analyzed using unweighted and weighted Cohen's kappa values. Results Diagnostic capability was generally considerably higher in the Gadofosveset group for all examined vessel segments. The overall images quality rating was significantly higher for the Gadofosveset group with a mean rating of 2.9 and 2.7 for the two-independent readers, compared to 1.2 and 1.0 for the control croup. Inter-rater variability showed less variability for the Gadofosveset group with a quadratic-weighted Cohen's Kappa value of 0.58 compared to 0.36 for the control group. Conclusion Our results show that Gadofosveset-enhanced magnetic resonance venography of the central thoracic veins is a reliable technique in clinical routine practice that results in diagnostic images, superior to conventional gadolinium-based contrast medium.
Collapse
Affiliation(s)
- Michael Åkesson
- 1 Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Leena Lehti
- 1 Department of Clinical Sciences, Lund University, Lund, Sweden.,2 Vascular Center, Skåne University Hospital, Malmö, Sweden
| | - Peter Höglund
- 1 Department of Clinical Sciences, Lund University, Lund, Sweden.,3 Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Per Åkeson
- 1 Department of Clinical Sciences, Lund University, Lund, Sweden.,4 Department of Radiology, Skanevard Sund, Trelleborg Hospital, Trelleborg, Sweden
| | - Johan Wassélius
- 1 Department of Clinical Sciences, Lund University, Lund, Sweden.,5 Department of Radiology, Skåne University Hospital, Lund, Sweden
| |
Collapse
|
14
|
Liew YM, McLaughlin RA, Chan BT, Aziz YFA, Chee KH, Ung NM, Tan LK, Lai KW, Ng S, Lim E. Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI. Phys Med Biol 2015; 60:2715-33. [DOI: 10.1088/0031-9155/60/7/2715] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
15
|
Single breath hold 3D cardiac cine MRI using kat-ARC: preliminary results at 1.5T. Int J Cardiovasc Imaging 2015; 31:851-7. [DOI: 10.1007/s10554-015-0615-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Accepted: 02/06/2015] [Indexed: 10/24/2022]
|
16
|
Advances in cardiac magnetic resonance imaging of congenital heart disease. Pediatr Radiol 2015; 45:5-19. [PMID: 25552386 DOI: 10.1007/s00247-014-3067-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2014] [Accepted: 05/21/2014] [Indexed: 01/09/2023]
Abstract
Due to advances in cardiac surgery, survival of patients with congenital heart disease has increased considerably during the past decades. Many of these patients require repeated cardiovascular magnetic resonance imaging to assess cardiac anatomy and function. In the past decade, technological advances have enabled faster and more robust cardiovascular magnetic resonance with improved image quality and spatial as well as temporal resolution. This review aims to provide an overview of advances in cardiovascular magnetic resonance hardware and acquisition techniques relevant to both pediatric and adult patients with congenital heart disease and discusses the techniques used to assess function, anatomy, flow and tissue characterization.
Collapse
|
17
|
Iyama Y, Nakaura T, Kidoh M, Kawahara T, Sakaino N, Harada K, Okuaki T, Yamashita Y. Single-breath-hold whole-heart coronary MRA in healthy volunteers at 3.0-T MRI. SPRINGERPLUS 2014; 3:667. [PMID: 25485202 PMCID: PMC4236310 DOI: 10.1186/2193-1801-3-667] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2014] [Accepted: 11/05/2014] [Indexed: 12/25/2022]
Abstract
BACKGROUND The purpose of this study was to investigate the feasibility of single-breath-hold whole-heart MRA with a 3-T system. Ten healthy male volunteers underwent single-breath-hold whole-heart coronary MRA at 3 T. We assessed acquisition time, scores of image quality of coronary artery (RCA: proximal, middle and distal, LAD: main, proximal, middle and distal, LCX: proximal and distal) and the visualized vessel length of RCA, LAD and LCX. FINDINGS Mean acquisition time was 37.7 ± 5.2 sec. Coronary branch was successfully depicted in 67/80 branches (84%) in the 10 healthy volunteers with diagnostic image quality. And, the average visible RCA, LAD and LCX vessel length were 83.4 ± 22 mm and 59.6 ± 24 mm. CONCLUSIONS 3-T MRI with single-breath-hold 3D whole-heart coronary MRA can yield adequate image quality. Further study is needed to evaluate the clinical benefit of this technique.
Collapse
Affiliation(s)
- Yuji Iyama
- Diagnostic Radiology, Amakusa Medical Center, Kameba 854-1, Amakusa, Kumamoto, 863-0046 Japan
| | - Takeshi Nakaura
- Diagnostic Radiology, Amakusa Medical Center, Kameba 854-1, Amakusa, Kumamoto, 863-0046 Japan
| | - Masafumi Kidoh
- Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Kumamoto, Kumamoto, 860-8556 Japan
| | - Tetsuya Kawahara
- Diagnostic Radiology, Amakusa Medical Center, Kameba 854-1, Amakusa, Kumamoto, 863-0046 Japan
| | - Naritsugu Sakaino
- Department of Cardiovascular Internal Medicine, Amakusa Medical Center, Kameba 854-1, Amakusa, Kumamoto, 863-0046 Japan
| | - Kazunori Harada
- Department of Surgery, Amakusa Medical Center, Kameba 854-1, Amakusa, Kumamoto, 863-0046 Japan
| | - Tomoyuki Okuaki
- MR Clinical Scientist Philips Healthcare AsiaPacific, 13-37 Kohnan 2-chome Minato-ku, Tokyo, 108-8507 Japan
| | - Yasuyuki Yamashita
- Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Kumamoto, Kumamoto, 860-8556 Japan
| |
Collapse
|
18
|
Mesubi O, Ego-Osuala K, Jeudy J, Purtilo J, Synowski S, Abutaleb A, Niekoop M, Abdulghani M, Asoglu R, See V, Saliaris A, Shorofsky S, Dickfeld T. Differences in quantitative assessment of myocardial scar and gray zone by LGE-CMR imaging using established gray zone protocols. Int J Cardiovasc Imaging 2014; 31:359-68. [PMID: 25352244 DOI: 10.1007/s10554-014-0555-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Accepted: 10/15/2014] [Indexed: 11/25/2022]
Abstract
Late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) imaging is the gold standard for myocardial scar evaluation. Heterogeneous areas of scar ('gray zone'), may serve as arrhythmogenic substrate. Various gray zone protocols have been correlated to clinical outcomes and ventricular tachycardia channels. This study assessed the quantitative differences in gray zone and scar core sizes as defined by previously validated signal intensity (SI) threshold algorithms. High quality LGE-CMR images performed in 41 cardiomyopathy patients [ischemic (33) or non-ischemic (8)] were analyzed using previously validated SI threshold methods [Full Width at Half Maximum (FWHM), n-standard deviation (NSD) and modified-FWHM]. Myocardial scar was defined as scar core and gray zone using SI thresholds based on these methods. Scar core, gray zone and total scar sizes were then computed and compared among these models. The median gray zone mass was 2-3 times larger with FWHM (15 g, IQR: 8-26 g) compared to NSD or modified-FWHM (5 g, IQR: 3-9 g; and 8 g. IQR: 6-12 g respectively, p < 0.001). Conversely, infarct core mass was 2.3 times larger with NSD (30 g, IQR: 17-53 g) versus FWHM and modified-FWHM (13 g, IQR: 7-23 g, p < 0.001). The gray zone extent (percentage of total scar that was gray zone) also varied significantly among the three methods, 51 % (IQR: 42-61 %), 17 % (IQR: 11-21 %) versus 38 % (IQR: 33-43 %) for FWHM, NSD and modified-FWHM respectively (p < 0.001). Considerable variability exists among the current methods for MRI defined gray zone and scar core. Infarct core and total myocardial scar mass also differ using these methods. Further evaluation of the most accurate quantification method is needed.
Collapse
Affiliation(s)
- Olurotimi Mesubi
- Maryland Arrhythmia and Cardiology Imaging Group (MACIG), University of Maryland, Baltimore, MD, USA
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
19
|
Barkauskas KJ, Rajiah P, Ashwath R, Hamilton JI, Chen Y, Ma D, Wright KL, Gulani V, Griswold MA, Seiberlich N. Quantification of left ventricular functional parameter values using 3D spiral bSSFP and through-time non-Cartesian GRAPPA. J Cardiovasc Magn Reson 2014; 16:65. [PMID: 25231607 PMCID: PMC4160541 DOI: 10.1186/s12968-014-0065-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2014] [Accepted: 08/11/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The standard clinical acquisition for left ventricular functional parameter analysis with cardiovascular magnetic resonance (CMR) uses a multi-breathhold multi-slice segmented balanced SSFP sequence. Performing multiple long breathholds in quick succession for ventricular coverage in the short-axis orientation can lead to fatigue and is challenging in patients with severe cardiac or respiratory disorders. This study combines the encoding efficiency of a six-fold undersampled 3D stack of spirals balanced SSFP sequence with 3D through-time spiral GRAPPA parallel imaging reconstruction. This 3D spiral method requires only one breathhold to collect the dynamic data. METHODS Ten healthy volunteers were recruited for imaging at 3 T. The 3D spiral technique was compared against 2D imaging in terms of systolic left ventricular functional parameter values (Bland-Altman plots), total scan time (Welch's t-test) and qualitative image rating scores (Wilcoxon signed-rank test). RESULTS Systolic left ventricular functional values were not significantly different (i.e. 3D-2D) between the methods. The 95% confidence interval for ejection fraction was -0.1 ± 1.6% (mean ± 1.96*SD). The total scan time for the 3D spiral technique was 48 s, which included one breathhold with an average duration of 14 s for the dynamic scan, plus 34 s to collect the calibration data under free-breathing conditions. The 2D method required an average of 5 min 40s for the same coverage of the left ventricle. The difference between 3D and 2D image rating scores was significantly different from zero (Wilcoxon signed-rank test, p < 0.05); however, the scores were at least 3 (i.e. average) or higher for 3D spiral imaging. CONCLUSION The 3D through-time spiral GRAPPA method demonstrated equivalent systolic left ventricular functional parameter values, required significantly less total scan time and yielded acceptable image quality with respect to the 2D segmented multi-breathhold standard in this study. Moreover, the 3D spiral technique used just one breathhold for dynamic imaging, which is anticipated to reduce patient fatigue as part of the complete cardiac examination in future studies that include patients.
Collapse
Affiliation(s)
| | - Prabhakar Rajiah
- />Cardiothoracic Imaging, Department of Radiology, University Hospitals Case Medical Center, Cleveland, Ohio USA
| | - Ravi Ashwath
- />Pediatric Cardiology, Rainbow Babies and Children’s Hospital, University Hospitals Case Medical Center, Cleveland, Ohio USA
| | - Jesse I Hamilton
- />Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio USA
| | - Yong Chen
- />Radiology, University Hospitals Case Medical Center, Cleveland, Ohio USA
| | - Dan Ma
- />Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio USA
| | - Katherine L Wright
- />Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio USA
| | - Vikas Gulani
- />Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio USA
- />Radiology, University Hospitals Case Medical Center, Cleveland, Ohio USA
| | - Mark A Griswold
- />Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio USA
- />Radiology, University Hospitals Case Medical Center, Cleveland, Ohio USA
| | - Nicole Seiberlich
- />Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio USA
| |
Collapse
|
20
|
Moghari MH, Komarlu R, Annese D, Geva T, Powell AJ. Free-breathing steady-state free precession cine cardiac magnetic resonance with respiratory navigator gating. Magn Reson Med 2014; 73:1555-61. [PMID: 24777586 DOI: 10.1002/mrm.25275] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Revised: 04/09/2014] [Accepted: 04/10/2014] [Indexed: 12/23/2022]
Abstract
PURPOSE To develop and validate a respiratory motion compensation method for free-breathing cardiac cine imaging. METHODS A free-breathing navigator-gated cine steady-state free precession acquisition (Cine-Nav) was developed which preserves the equilibrium state of the net magnetization vector, maintains the high spatial and temporal resolutions of standard breath-hold (BH) acquisition, and images entire cardiac cycle. Cine image data is accepted only from cardiac cycles occurring entirely during end-expiration. Prospective validation was performed in 10 patients by obtaining in each three complete ventricular image stacks with different respiratory motion compensation approaches: (1) BH, (2) free-breathing with 3 signal averages (3AVG), and (3) free-breathing with Cine-Nav. RESULTS The subjective image quality score (1 = worst, 4 = best) for Cine-Nav (3.8 ± 0.4) was significantly better than for 3AVG (2.2 ± 0.5, P = 0.002), and similar to BH (4.0 ± 0.0, P = 0.13). The blood-to-myocardium contrast ratio for Cine-Nav (6.3 ± 1.5) was similar to BH (5.9 ± 1.6, P = 0.52) and to 3AVG (5.6 ± 2.5, P = 0.43). There were no significant differences between Cine-Nav and BH for the ventricular volumes and mass. In contrast, there were significant differences between 3AVG and BH in all of these measurements but right ventricular mass. CONCLUSION Free-breathing cine imaging with Cine-Nav yielded comparable image quality and ventricular measurements to BH, and was superior to 3AVG.
Collapse
Affiliation(s)
- Mehdi H Moghari
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | | | | | | | | |
Collapse
|
21
|
de Marvao A, Dawes TJW, Shi W, Minas C, Keenan NG, Diamond T, Durighel G, Montana G, Rueckert D, Cook SA, O’Regan DP. Population-based studies of myocardial hypertrophy: high resolution cardiovascular magnetic resonance atlases improve statistical power. J Cardiovasc Magn Reson 2014; 16:16. [PMID: 24490638 PMCID: PMC3914701 DOI: 10.1186/1532-429x-16-16] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2013] [Accepted: 01/29/2014] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Cardiac phenotypes, such as left ventricular (LV) mass, demonstrate high heritability although most genes associated with these complex traits remain unidentified. Genome-wide association studies (GWAS) have relied on conventional 2D cardiovascular magnetic resonance (CMR) as the gold-standard for phenotyping. However this technique is insensitive to the regional variations in wall thickness which are often associated with left ventricular hypertrophy and require large cohorts to reach significance. Here we test whether automated cardiac phenotyping using high spatial resolution CMR atlases can achieve improved precision for mapping wall thickness in healthy populations and whether smaller sample sizes are required compared to conventional methods. METHODS LV short-axis cine images were acquired in 138 healthy volunteers using standard 2D imaging and 3D high spatial resolution CMR. A multi-atlas technique was used to segment and co-register each image. The agreement between methods for end-diastolic volume and mass was made using Bland-Altman analysis in 20 subjects. The 3D and 2D segmentations of the LV were compared to manual labeling by the proportion of concordant voxels (Dice coefficient) and the distances separating corresponding points. Parametric and nonparametric data were analysed with paired t-tests and Wilcoxon signed-rank test respectively. Voxelwise power calculations used the interstudy variances of wall thickness. RESULTS The 3D volumetric measurements showed no bias compared to 2D imaging. The segmented 3D images were more accurate than 2D images for defining the epicardium (Dice: 0.95 vs 0.93, P<0.001; mean error 1.3 mm vs 2.2 mm, P<0.001) and endocardium (Dice 0.95 vs 0.93, P<0.001; mean error 1.1 mm vs 2.0 mm, P<0.001). The 3D technique resulted in significant differences in wall thickness assessment at the base, septum and apex of the LV compared to 2D (P<0.001). Fewer subjects were required for 3D imaging to detect a 1 mm difference in wall thickness (72 vs 56, P<0.001). CONCLUSIONS High spatial resolution CMR with automated phenotyping provides greater power for mapping wall thickness than conventional 2D imaging and enables a reduction in the sample size required for studies of environmental and genetic determinants of LV wall thickness.
Collapse
Affiliation(s)
- Antonio de Marvao
- From the Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Timothy JW Dawes
- From the Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Wenzhe Shi
- Department of Computing, Imperial College London, Kensington Campus, Exhibition Road, London SW7 2AZ, UK
| | - Christopher Minas
- Department of Mathematics, Imperial College London, South Kensington Campus, Exhibition Road, London SW7 2AZ, UK
| | - Niall G Keenan
- Department of Cardiology, Imperial College NHS Healthcare Trust, Du Cane Road, London W12 0HS, UK
| | - Tamara Diamond
- From the Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Giuliana Durighel
- From the Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Giovanni Montana
- Department of Mathematics, Imperial College London, South Kensington Campus, Exhibition Road, London SW7 2AZ, UK
| | - Daniel Rueckert
- Department of Computing, Imperial College London, Kensington Campus, Exhibition Road, London SW7 2AZ, UK
| | - Stuart A Cook
- From the Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
- Department of Cardiology, National Heart Centre Singapore, 17 Third Hospital Ave, Singapore 168752, Singapore
- Duke-NUS, 8 College Road, Singapore 169857, Singapore
| | - Declan P O’Regan
- From the Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| |
Collapse
|