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Hermida U, van Poppel MPM, Sabry M, Keramati H, Steinweg JK, Simpson JM, Vigneswaran TV, Razavi R, Pushparajah K, Lloyd DFA, Lamata P, De Vecchi A. The onset of coarctation of the aorta before birth: Mechanistic insights from fetal arch anatomy and haemodynamics. Comput Biol Med 2024; 182:109077. [PMID: 39265477 DOI: 10.1016/j.compbiomed.2024.109077] [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: 12/28/2023] [Revised: 06/17/2024] [Accepted: 08/23/2024] [Indexed: 09/14/2024]
Abstract
Accurate prenatal diagnosis of coarctation of the aorta (CoA) is challenging due to high false positive rate burden and poorly understood aetiology. Despite associations with abnormal blood flow dynamics, fetal arch anatomy changes and alterations in tissue properties, its underlying mechanisms remain a longstanding subject of debate hindering diagnosis in utero. This study leverages computational fluid dynamics (CFD) simulations and statistical shape modelling to investigate the interplay between fetal arch anatomy and blood flow alterations in CoA. Using cardiac magnetic resonance imaging data from 188 fetuses, including normal controls and suspected CoA cases, a statistical shape model of the fetal arch anatomy was built. From this analysis, digital twin models of false and true positive CoA cases were generated. These models were then used to perform CFD simulations of the three-dimensional fetal arch haemodynamics, considering physiological variations in arch shape and blood flow conditions across the disease spectrum. This analysis revealed that independent changes in the shape of. the arch and the balance of left-to-right ventricular output led to qualitatively similar haemodynamic alterations. Transitioning from a false to a true positive phenotype increased retrograde flow through the aortic isthmus. This resulted in the appearance of an area of low wall shear stress surrounded by high wall shear stress values at the flow split apex on the aortic posterior wall opposite the ductal insertion point. Our results suggest a distinctive haemodynamic signature in CoA characterised by the appearance of retrograde flow through the aortic isthmus and altered wall shear stress at its posterior side. The consistent link between alterations in shape and blood flow in CoA suggests the need for comprehensive anatomical and functional diagnostic approaches in CoA. This study presents an application of the digital twin approach to support the understanding of CoA mechanisms in utero and its potential for improved diagnosis before birth.
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Affiliation(s)
- Uxio Hermida
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.
| | - Milou P M van Poppel
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
| | - Malak Sabry
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
| | - Hamed Keramati
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
| | - Johannes K Steinweg
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
| | - John M Simpson
- Department of Congenital Heart Disease, Evelina London Children's Hospital, SE1 7EH, UK
| | - Trisha V Vigneswaran
- Department of Congenital Heart Disease, Evelina London Children's Hospital, SE1 7EH, UK
| | - Reza Razavi
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK; Department of Congenital Heart Disease, Evelina London Children's Hospital, SE1 7EH, UK
| | - Kuberan Pushparajah
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK; Department of Congenital Heart Disease, Evelina London Children's Hospital, SE1 7EH, UK
| | - David F A Lloyd
- Department of Perinatal Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK; Department of Congenital Heart Disease, Evelina London Children's Hospital, SE1 7EH, UK
| | - Pablo Lamata
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
| | - Adelaide De Vecchi
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
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2
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Maher S, Seed M. Fetal Cardiovascular MR Imaging. Magn Reson Imaging Clin N Am 2024; 32:479-487. [PMID: 38944435 DOI: 10.1016/j.mric.2024.04.008] [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] [Indexed: 07/01/2024]
Abstract
Prenatal diagnosis of congenital heart disease allows for appropriate planning of delivery and an opportunity to inform families about the prognosis of the cardiac malformation. On occasion, prenatal therapies may be offered to improve perinatal outcomes. While ultrasound is the primary diagnostic method, advances have led to interest in fetal MRI for its potential to aid in clinical decision-making. This review explores technical innovations and the clinical utility of fetal cardiovascular magnetic resonance (CMR), highlighting its role in diagnosing and planning interventions for complex heart conditions. Future directions include the prediction of perinatal physiology and guidance of delivery planning.
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Affiliation(s)
- Samer Maher
- Department of Physiology, University of Toronto, 1 King's College Circle, Toronto, Ontario, Canada
| | - Mike Seed
- Cardiology, The Hospital for Sick Children, University of Toronto, 170 Elizabeth Street, Toronto, Ontario, Canada.
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Vollbrecht TM, Hart C, Zhang S, Katemann C, Sprinkart AM, Isaak A, Attenberger U, Pieper CC, Kuetting D, Geipel A, Strizek B, Luetkens JA. Deep learning denoising reconstruction for improved image quality in fetal cardiac cine MRI. Front Cardiovasc Med 2024; 11:1323443. [PMID: 38410246 PMCID: PMC10894983 DOI: 10.3389/fcvm.2024.1323443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/10/2024] [Indexed: 02/28/2024] Open
Abstract
Purpose This study aims to evaluate deep learning (DL) denoising reconstructions for image quality improvement of Doppler ultrasound (DUS)-gated fetal cardiac MRI in congenital heart disease (CHD). Methods Twenty-five fetuses with CHD (mean gestational age: 35 ± 1 weeks) underwent fetal cardiac MRI at 3T. Cine imaging was acquired using a balanced steady-state free precession (bSSFP) sequence with Doppler ultrasound gating. Images were reconstructed using both compressed sensing (bSSFP CS) and a pre-trained convolutional neural network trained for DL denoising (bSSFP DL). Images were compared qualitatively based on a 5-point Likert scale (from 1 = non-diagnostic to 5 = excellent) and quantitatively by calculating the apparent signal-to-noise ratio (aSNR) and contrast-to-noise ratio (aCNR). Diagnostic confidence was assessed for the atria, ventricles, foramen ovale, valves, great vessels, aortic arch, and pulmonary veins. Results Fetal cardiac cine MRI was successful in 23 fetuses (92%), with two studies excluded due to extensive fetal motion. The image quality of bSSFP DL cine reconstructions was rated superior to standard bSSFP CS cine images in terms of contrast [3 (interquartile range: 2-4) vs. 5 (4-5), P < 0.001] and endocardial edge definition [3 (2-4) vs. 4 (4-5), P < 0.001], while the extent of artifacts was found to be comparable [4 (3-4.75) vs. 4 (3-4), P = 0.40]. bSSFP DL images had higher aSNR and aCNR compared with the bSSFP CS images (aSNR: 13.4 ± 6.9 vs. 8.3 ± 3.6, P < 0.001; aCNR: 26.6 ± 15.8 vs. 14.4 ± 6.8, P < 0.001). Diagnostic confidence of the bSSFP DL images was superior for the evaluation of cardiovascular structures (e.g., atria and ventricles: P = 0.003). Conclusion DL image denoising provides superior quality for DUS-gated fetal cardiac cine imaging of CHD compared to standard CS image reconstruction.
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Affiliation(s)
- Thomas M Vollbrecht
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Christopher Hart
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
- Department of Pediatric Cardiology, University Hospital Bonn, Bonn, Germany
| | - Shuo Zhang
- Philips GmbH Market DACH, PD Clinical Science, Hamburg, Germany
| | | | - Alois M Sprinkart
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Alexander Isaak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Ulrike Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Claus C Pieper
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Daniel Kuetting
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Annegret Geipel
- Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany
| | - Brigitte Strizek
- Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
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4
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Udine M, Loke YH, Goudar S, Donofrio MT, Truong U, Krishnan A. The current state and potential innovation of fetal cardiac MRI. Front Pediatr 2023; 11:1219091. [PMID: 37520049 PMCID: PMC10375913 DOI: 10.3389/fped.2023.1219091] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 07/03/2023] [Indexed: 08/01/2023] Open
Abstract
Fetal cardiac MRI is a rapidly evolving form of diagnostic testing with utility as a complementary imaging modality for the diagnosis of congenital heart disease and assessment of the fetal cardiovascular system. Previous technical limitations without cardiac gating for the fetal heart rate has been overcome with recent technology. There is potential utility of fetal electrocardiography for direct cardiac gating. In addition to anatomic assessment, innovative technology has allowed for assessment of blood flow, 3D datasets, and 4D flow, providing important insight into fetal cardiovascular physiology. Despite remaining technical barriers, with increased use of fCMR worldwide, it will become an important clinical tool to improve the prenatal care of fetuses with CHD.
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Affiliation(s)
- Michelle Udine
- Division of Cardiology, Children’s National Hospital, Washington, DC, United States
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5
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Hermida U, van Poppel MPM, Lloyd DFA, Steinweg JK, Vigneswaran TV, Simpson JM, Razavi R, De Vecchi A, Pushparajah K, Lamata P. Learning the Hidden Signature of Fetal Arch Anatomy: a Three-Dimensional Shape Analysis in Suspected Coarctation of the Aorta. J Cardiovasc Transl Res 2023; 16:738-747. [PMID: 36301513 PMCID: PMC10299929 DOI: 10.1007/s12265-022-10335-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 10/13/2022] [Indexed: 10/31/2022]
Abstract
Neonatal coarctation of the aorta (CoA) is a common congenital heart defect. Its antenatal diagnosis remains challenging, and its pathophysiology is poorly understood. We present a novel statistical shape modeling (SSM) pipeline to study the role and predictive value of arch shape in CoA in utero. Cardiac magnetic resonance imaging (CMR) data of 112 fetuses with suspected CoA was acquired and motion-corrected to three-dimensional volumes. Centerlines from fetal arches were extracted and used to build a statistical shape model capturing relevant anatomical variations. A linear discriminant analysis was used to find the optimal axis between CoA and false positive cases. The CoA shape risk score classified cases with an area under the curve of 0.907. We demonstrate the feasibility of applying a SSM pipeline to three-dimensional fetal CMR data while providing novel insights into the anatomical determinants of CoA and the relevance of in utero arch anatomy for antenatal diagnosis of CoA.
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Affiliation(s)
- Uxio Hermida
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 5Th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EH, UK
| | - Milou P M van Poppel
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
| | - David F A Lloyd
- Department of Perinatal Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
- Department of Congenital Heart Disease, Evelina London Children's Hospital, London, SE1 7EH, UK
| | - Johannes K Steinweg
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
| | - Trisha V Vigneswaran
- Department of Congenital Heart Disease, Evelina London Children's Hospital, London, SE1 7EH, UK
- Harris Birthright Centre, Fetal Medicine Research Institute, King's College Hospital, London, UK
| | - John M Simpson
- Department of Congenital Heart Disease, Evelina London Children's Hospital, London, SE1 7EH, UK
- Harris Birthright Centre, Fetal Medicine Research Institute, King's College Hospital, London, UK
| | - Reza Razavi
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
- Department of Congenital Heart Disease, Evelina London Children's Hospital, London, SE1 7EH, UK
| | - Adelaide De Vecchi
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 5Th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EH, UK
| | - Kuberan Pushparajah
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
- Department of Congenital Heart Disease, Evelina London Children's Hospital, London, SE1 7EH, UK
| | - Pablo Lamata
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 5Th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EH, UK.
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Kühle H, Cho SKS, Barber N, Goolaub DS, Darby JRT, Morrison JL, Haller C, Sun L, Seed M. Advanced imaging of fetal cardiac function. Front Cardiovasc Med 2023; 10:1206138. [PMID: 37288263 PMCID: PMC10242056 DOI: 10.3389/fcvm.2023.1206138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 05/09/2023] [Indexed: 06/09/2023] Open
Abstract
Over recent decades, a variety of advanced imaging techniques for assessing cardiovascular physiology and cardiac function in adults and children have been applied in the fetus. In many cases, technical development has been required to allow feasibility in the fetus, while an appreciation of the unique physiology of the fetal circulation is required for proper interpretation of the findings. This review will focus on recent advances in fetal echocardiography and cardiovascular magnetic resonance (CMR), providing examples of their application in research and clinical settings. We will also consider future directions for these technologies, including their ongoing technical development and potential clinical value.
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Affiliation(s)
- Henriette Kühle
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Cardiac and Thoracic Surgery, University Hospital Magdeburg, Otto von Guericke University Magdeburg, Magdeburg, Germany
- Division of Cardiac Surgery, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Steven K. S. Cho
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Early Origins of Adult Health Research Group, University of South Australia, Adelaide, SA, Australia
| | - Nathaniel Barber
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Datta Singh Goolaub
- Translational Medicine Program, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Jack R. T. Darby
- Early Origins of Adult Health Research Group, University of South Australia, Adelaide, SA, Australia
| | - Janna L. Morrison
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Early Origins of Adult Health Research Group, University of South Australia, Adelaide, SA, Australia
- Research Institute, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Christoph Haller
- Division of Cardiac Surgery, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Liqun Sun
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Translational Medicine Program, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Mike Seed
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Translational Medicine Program, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Research Institute, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Diagnostic Imaging, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
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7
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Rubert NC, Jategaonkar G, Plasencia JD, Lindblade CL, Bardo DME, Goncalves LF. Four-dimensional fetal cardiac imaging in a cohort of fetuses with suspected congenital heart disease. Pediatr Radiol 2023; 53:198-209. [PMID: 36198870 DOI: 10.1007/s00247-022-05500-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 07/07/2022] [Accepted: 08/29/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND Fetal cardiac magnetic resonance imaging (MRI) requires high spatial and temporal resolution and robustness to random fetal motion to capture the dynamics of the beating fetal heart. Slice-to-volume reconstruction techniques can produce high-resolution isotropic images while compensating for random fetal motion. OBJECTIVE The objective of this study was to evaluate image quality for slice-to-volume reconstruction of four-dimensional balanced steady-state free precession (bSSFP) imaging of the fetal heart. MATERIALS AND METHODS A cohort of 13 women carrying fetuses with congenital heart disease were imaged with real-time bSSFP sequences. Real-time bSSFP sequences were post-processed using a slice-to-volume reconstruction algorithm to produce retrospectively gated 4-D sequences with isotropic spatial resolution. Two radiologists evaluated slice-to-volume reconstruction image quality on a scale from 0 to 4 using 11 categories based on a segmental approach to defining cardiac anatomy and pathology. A score of 0 corresponded to cardiac structures not visualized at all and four corresponded to high quality and distinct appearance of structures. RESULTS In 11 out of 13 cases, the average radiologist score of image quality across all categories was 3.0 or greater. In the remaining two cases, slice-to-volume reconstruction was not possible due to insufficient image quality in the acquisition. CONCLUSION Slice-to-volume reconstruction has the potential to produce isotropic images with high spatial and temporal resolution that can display the anatomy of the fetal heart in arbitrary imaging planes retrospectively. More rapid, motion-robust acquisitions may be necessary to successfully reconstruct the fetal heart in all patients.
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Affiliation(s)
- Nicholas C Rubert
- Phoenix Children's Hospital, 1919 E. Thomas Road, Phoenix, AZ, 85257, USA.
| | - Gaurav Jategaonkar
- Phoenix Children's Hospital, 1919 E. Thomas Road, Phoenix, AZ, 85257, USA
| | | | | | - Dianna M E Bardo
- Phoenix Children's Hospital, 1919 E. Thomas Road, Phoenix, AZ, 85257, USA
- Mayo Clinic, Scottsdale, AZ, USA
- University of Arizona, Phoenix, AZ, USA
- School of Medicine, Creighton University, Phoenix, AZ, USA
| | - Luis F Goncalves
- Phoenix Children's Hospital, 1919 E. Thomas Road, Phoenix, AZ, 85257, USA
- University of Arizona, Phoenix, AZ, USA
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The Evolution and Developing Importance of Fetal Magnetic Resonance Imaging in the Diagnosis of Congenital Cardiac Anomalies: A Systematic Review. J Clin Med 2022; 11:jcm11237027. [PMID: 36498602 PMCID: PMC9738414 DOI: 10.3390/jcm11237027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/21/2022] [Accepted: 11/24/2022] [Indexed: 11/29/2022] Open
Abstract
Magnetic Resonance Imaging (MRI) is a reliable method, with a complementary role to Ultrasound (US) Echocardiography, that can be used to fully comprehend and precisely diagnose congenital cardiac malformations. Besides the anatomical study of the fetal cardiovascular system, it allows us to study the function of the fetal heart, remaining, at the same time, a safe adjunct to the classic fetal echocardiography. MRI also allows for the investigation of cardiac and placental diseases by providing information about hematocrit, oxygen saturation, and blood flow in fetal vessels. It is crucial for fetal medicine specialists and pediatric cardiologists to closely follow the advances of fetal cardiac MRI in order to provide the best possible care. In this review, we summarize the advance in techniques and their practical utility to date.
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Goolaub DS, Xu J, Schrauben EM, Marini D, Kingdom JC, Sled JG, Seed M, Macgowan CK. Volumetric Fetal Flow Imaging With Magnetic Resonance Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING 2022; 41:2941-2952. [PMID: 35604966 DOI: 10.1109/tmi.2022.3176814] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Fetal development relies on a complex circulatory network. Accurate assessment of flow distribution is important for understanding pathologies and potential therapies. In this paper, we demonstrate a method for volumetric imaging of fetal flow with magnetic resonance imaging (MRI). Fetal MRI faces challenges: small vascular structures, unpredictable motion, and inadequate traditional cardiac gating methods. Here, orthogonal multislice stacks are acquired with accelerated multidimensional radial phase contrast (PC) MRI. Slices are reconstructed into flow sensitive time-series images with motion correction and image-based cardiac gating. They are then combined into a dynamic volume using slice-to-volume reconstruction (SVR) while resolving interslice spatiotemporal coregistration. Compared to prior methods, this approach achieves higher spatiotemporal resolution ( 1×1×1 mm3, ~30 ms) with reduced scan time - important features for the quantification of flow through small fetal structures. Validation is demonstrated in adults by comparing SVR with 4D radial PCMRI (flow bias and limits of agreement: -1.1 ml/s and [-11.8 9.6] ml/s). Feasibility is demonstrated in late gestation fetuses by comparing SVR with 2D Cartesian PCMRI (flow bias and limits of agreement: -0.9 ml/min/kg and [-39.7 37.8] ml/min/kg). With SVR, we demonstrate complex flow pathways (such as parallel flow streams in the proximal inferior vena cava, preferential shunting of blood from the ductus venosus into the left atrium, and blood from the brain leaving the heart through the main pulmonary artery) for the first time in human fetal circulation. This method allows for comprehensive evaluation of the fetal circulation and enables future studies of fetal physiology.
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10
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Spanaki A, Kabir S, Stephenson N, van Poppel MPM, Benetti V, Simpson J. 3D Approaches in Complex CHD: Where Are We? Funny Printing and Beautiful Images, or a Useful Tool? J Cardiovasc Dev Dis 2022; 9:269. [PMID: 36005432 PMCID: PMC9410138 DOI: 10.3390/jcdd9080269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 08/02/2022] [Accepted: 08/05/2022] [Indexed: 11/16/2022] Open
Abstract
Echocardiography, CT and MRI have a crucial role in the management of congenital heart disease (CHD) patients. All of these modalities can be presented in a 2D or a 3D rendered format. The aim of this paper is to review the key advantages and potential limitations, as well as the future challenges of a 3D approach in each imaging modality. The focus of this review is on anatomic rather than functional assessment. Conventional 2D echocardiography presents limitations when imaging complex lesions, whereas 3D imaging depicts the anatomy in all dimensions. CT and MRI can visualise extracardiac vasculature and guide complex biventricular repair. Three-dimensional printed models can be used in depicting complex intracardiac relationships and defining the surgical strategy in specific lesions. Extended reality imaging retained dynamic cardiac motion holds great potential for planning surgical and catheter procedures. Overall, the use of 3D imaging has resulted in a better understanding of anatomy, with a direct impact on the surgical and catheter approach, particularly in more complex cases.
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Affiliation(s)
- Adriani Spanaki
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, Guy’s and St Thomas NHS Foundation Trust, London SE1 7EH, UK
| | - Saleha Kabir
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, Guy’s and St Thomas NHS Foundation Trust, London SE1 7EH, UK
| | - Natasha Stephenson
- School of Biomedical Engineering & Imaging Sciences, King’s College London, King’s Health Partners, St Thomas’ Hospital, London SE1 7EH, UK
| | - Milou P. M. van Poppel
- School of Biomedical Engineering & Imaging Sciences, King’s College London, King’s Health Partners, St Thomas’ Hospital, London SE1 7EH, UK
| | - Valentina Benetti
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, Guy’s and St Thomas NHS Foundation Trust, London SE1 7EH, UK
| | - John Simpson
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, Guy’s and St Thomas NHS Foundation Trust, London SE1 7EH, UK
- School of Biomedical Engineering & Imaging Sciences, King’s College London, King’s Health Partners, St Thomas’ Hospital, London SE1 7EH, UK
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11
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Schulz A, Lloyd DFA, van Poppel MPM, Roberts TA, Steinweg JK, Pushparajah K, Hajnal JV, Razavi R. Structured analysis of the impact of fetal motion on phase-contrast MRI flow measurements with metric optimized gating. Sci Rep 2022; 12:5395. [PMID: 35354868 PMCID: PMC8967860 DOI: 10.1038/s41598-022-09327-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 03/21/2022] [Indexed: 01/19/2023] Open
Abstract
The impact of fetal motion on phase contrast magnetic resonance imaging (PC-MRI) with metric optimized gating (MOG) remains unknown, despite being a known limitation to prenatal MRI. This study aims to describe the effect of motion on fetal flow-measurements using PC-MRI with MOG and to generate a scoring-system that could be used to predict motion-corrupted datasets at the time of acquisition. Ten adult volunteers underwent PC-MRI with MOG using a motion-device to simulate reproducible in-plane motion encountered in fetuses. PC-MRI data were acquired on ten fetuses. All ungated images were rated on their quality from 0 (no motion) to 2 (severe motion). There was no significant difference in measured flows with in-plane motion during the first and last third of sequence acquisition. Movement in the middle section of acquisition produced a significant difference while all referring ungated images were rated with a score of 2. Intra-Class-Correlation (ICC) for flow-measurements in adult and fetal datasets was lower for datasets with scores of 2. For fetal applications, the use of a simple three-point scoring system reliably identifies motion-corrupted sequences from unprocessed data at the time of acquisition, with a high score corresponding to significant underestimation of flow values and increased interobserver variability.
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Affiliation(s)
- Alexander Schulz
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK. .,Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, Berlin, 10117, Germany.
| | - David F A Lloyd
- 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, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Milou P M van Poppel
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Thomas A Roberts
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Johannes K Steinweg
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - 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, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Joseph V Hajnal
- School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
| | - Reza Razavi
- 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, Guy's and St Thomas' NHS Foundation Trust, London, UK
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12
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Lloyd DF, van Poppel MP, Pushparajah K, Vigneswaran TV, Zidere V, Steinweg J, van Amerom JF, Roberts TA, Schulz A, Charakida M, Miller O, Sharland G, Rutherford M, Hajnal JV, Simpson JM, Razavi R. Analysis of 3-Dimensional Arch Anatomy, Vascular Flow, and Postnatal Outcome in Cases of Suspected Coarctation of the Aorta Using Fetal Cardiac Magnetic Resonance Imaging. Circ Cardiovasc Imaging 2021; 14:e012411. [PMID: 34187165 PMCID: PMC8300852 DOI: 10.1161/circimaging.121.012411] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 04/14/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Identifying fetuses at risk of severe neonatal coarctation of the aorta (CoA) can be lifesaving but is notoriously challenging in clinical practice with a high rate of false positives. Novel fetal 3-dimensional and phase-contrast magnetic resonance imaging (MRI) offers an unprecedented means of assessing the human fetal cardiovascular system before birth. We performed detailed MRI assessment of fetal vascular morphology and flows in a cohort of fetuses with suspected CoA, correlated with the need for postnatal intervention. METHODS Women carrying a fetus with suspected CoA on echocardiography were referred for MRI assessment between 26 and 36 weeks of gestation, including high-resolution motion-corrected 3-dimensional volumes of the fetal heart and phase-contrast flow sequences gated with metric optimized gating. The relationship between aortic geometry and vascular flows was then analyzed and compared with postnatal outcome. RESULTS Seventy-two patients (51 with suspected fetal CoA and 21 healthy controls) underwent fetal MRI with motion-corrected 3-dimensional vascular reconstructions. Vascular flow measurements from phase-contrast sequences were available in 53 patients. In the CoA group, 25 of 51 (49%) required surgical repair of coarctation after birth; the remaining 26 of 51 (51%) were discharged without neonatal intervention. Reduced blood flow in the fetal ascending aorta and at the aortic isthmus was associated with increasing angulation (P=0.005) and proximal displacement (P=0.006) of the isthmus and was seen in both true positive and false positive cases. A multivariate logistic regression model including aortic flow and isthmal displacement explained 78% of the variation in outcome and correctly predicted the need for intervention in 93% of cases. CONCLUSIONS Reduced blood flow though the left heart is associated with important configurational changes at the aortic isthmus in fetal life, predisposing to CoA when the arterial duct closes after birth. Novel fetal MRI techniques may have a role in both understanding and accurately predicting severe neonatal CoA.
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Affiliation(s)
- David F.A. Lloyd
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Milou P.M. van Poppel
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - Kuberan Pushparajah
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Trisha V. Vigneswaran
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Vita Zidere
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Johannes Steinweg
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - Joshua F.P. van Amerom
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - Thomas A. Roberts
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - Alexander Schulz
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - Marietta Charakida
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Owen Miller
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Gurleen Sharland
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Mary Rutherford
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - Joseph V. Hajnal
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - John M. Simpson
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Reza Razavi
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
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13
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Deep Learning-Based Post-Processing of Real-Time MRI to Assess and Quantify Dynamic Wrist Movement in Health and Disease. Diagnostics (Basel) 2021; 11:diagnostics11061077. [PMID: 34208361 PMCID: PMC8231139 DOI: 10.3390/diagnostics11061077] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/06/2021] [Accepted: 06/09/2021] [Indexed: 12/20/2022] Open
Abstract
While morphologic magnetic resonance imaging (MRI) is the imaging modality of choice for the evaluation of ligamentous wrist injuries, it is merely static and incapable of diagnosing dynamic wrist instability. Based on real-time MRI and algorithm-based image post-processing in terms of convolutional neural networks (CNNs), this study aims to develop and validate an automatic technique to quantify wrist movement. A total of 56 bilateral wrists (28 healthy volunteers) were imaged during continuous and alternating maximum ulnar and radial abduction. Following CNN-based automatic segmentations of carpal bone contours, scapholunate and lunotriquetral gap widths were quantified based on dedicated algorithms and as a function of wrist position. Automatic segmentations were in excellent agreement with manual reference segmentations performed by two radiologists as indicated by Dice similarity coefficients of 0.96 ± 0.02 and consistent and unskewed Bland–Altman plots. Clinical applicability of the framework was assessed in a patient with diagnosed scapholunate ligament injury. Considerable increases in scapholunate gap widths across the range-of-motion were found. In conclusion, the combination of real-time wrist MRI and the present framework provides a powerful diagnostic tool for dynamic assessment of wrist function and, if confirmed in clinical trials, dynamic carpal instability that may elude static assessment using clinical-standard imaging modalities.
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14
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Sun L, Lee FT, van Amerom JFP, Freud L, Jaeggi E, Macgowan CK, Seed M. Update on fetal cardiovascular magnetic resonance and utility in congenital heart disease. JOURNAL OF CONGENITAL CARDIOLOGY 2021. [DOI: 10.1186/s40949-021-00059-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Congenital heart disease (CHD) is the most common birth defect, affecting approximately eight per thousand newborns. Between one and two neonates per thousand have congenital cardiac lesions that require immediate post-natal treatment to stabilize the circulation, and the management of these patients in particular has been greatly enhanced by prenatal detection. The antenatal diagnosis of CHD has been made possible through the development of fetal echocardiography, which provides excellent visualization of cardiac anatomy and physiology and is widely available. However, late gestational fetal echocardiographic imaging can be hampered by suboptimal sonographic windows, particularly in the setting of oligohydramnios or adverse maternal body habitus.
Main body
Recent advances in fetal cardiovascular magnetic resonance (CMR) technology now provide a feasible alternative that could be helpful when echocardiography is inconclusive or limited. Fetal CMR has also been used to study fetal circulatory physiology in human fetuses with CHD, providing new insights into how these common anatomical abnormalities impact the distribution of blood flow and oxygen across the fetal circulation. In combination with conventional fetal and neonatal magnetic resonance imaging (MRI) techniques, fetal CMR can be used to explore the relationship between abnormal cardiovascular physiology and fetal development. Similarly, fetal CMR has been successfully applied in large animal models of the human fetal circulation, aiding in the evaluation of experimental interventions aimed at improving in utero development. With the advent of accelerated image acquisition techniques, post-processing approaches to correcting motion artifacts and commercial MRI compatible cardiotocography units for acquiring gated fetal cardiac imaging, an increasing number of CMR methods including angiography, ventricular volumetry, and the quantification of vessel blood flow and oxygen content are now possible.
Conclusion
Fetal CMR has reached an exciting stage whereby it may now be used to enhance the assessment of cardiac morphology and fetal hemodynamics in the setting of prenatal CHD.
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15
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Fetal cardiovascular magnetic resonance imaging. Pediatr Radiol 2020; 50:1881-1894. [PMID: 33252756 DOI: 10.1007/s00247-020-04902-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 09/23/2020] [Accepted: 11/02/2020] [Indexed: 12/11/2022]
Abstract
Fetal cardiovascular MRI is showing promise as a clinical diagnostic tool in the setting of congenital heart disease when the cardiac anatomy is unresolved by US or when complementary quantitative data on blood flow, oxygen saturation and hematocrit are required to aid in management. Compared with postnatal cardiovascular MRI, prenatal cardiovascular MRI still has some technical limitations. However, ongoing technical advances continue to improve the robustness and usability of fetal cardiovascular MRI. In this review, we provide an overview of the state of the art of fetal cardiovascular MRI and summarize the current focus of clinical application for this versatile technique.
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16
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Pathrose A, Ma L, Berhane H, Scott MB, Chow K, Forman C, Jin N, Serhal A, Avery R, Carr J, Markl M. Highly accelerated aortic 4D flow MRI using compressed sensing: Performance at different acceleration factors in patients with aortic disease. Magn Reson Med 2020; 85:2174-2187. [PMID: 33107141 DOI: 10.1002/mrm.28561] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 09/29/2020] [Accepted: 09/30/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE To systematically assess the feasibility and performance of a highly accelerated compressed sensing (CS) 4D flow MRI framework at three different acceleration factors (R) for the quantification of aortic flow dynamics and wall shear stress (WSS) in patients with aortic disease. METHODS Twenty patients with aortic disease (58 ± 15 y old; 19 M) underwent four 4D flow scans: one conventional (GRAPPA, R = 2) and three CS 4D flows with R = 5.7, 7.7, and 10.2. All scans were acquired with otherwise equivalent imaging parameters on a 1.5T scanner. Peak-systolic velocity (Vmax ), peak flow (Qmax ), and net flow (Qnet ) were quantified at the ascending aorta (AAo), arch, and descending aorta (DAo). WSS was calculated at six regions within the AAo and arch. RESULTS Mean scan times for the conventional and CS 4D flows with R = 5.7, 7.7, and 10.2 were 9:58 ± 2:58 min, 3:40 ± 1:19 min, 2:50 ± 0:56 min, and 2:05 ± 0:42 min, respectively. Vmax , Qmax , and Qnet were significantly underestimated by all CS protocols (underestimation ≤ -7%, -9%, and -10% by CS, R = 5.7, 7.7, and 10.2, respectively). WSS measurements showed the highest underestimation by all CS protocols (underestimation ≤ -9%, -12%, and -14% by CS, R = 5.7, 7.7, and 10.2). CONCLUSIONS Highly accelerated aortic CS 4D flow at R = 5.7, 7.7, and 10.2 showed moderate agreement with the conventional 4D flow, despite systematically underestimating various hemodynamic parameters. The shortened scan time may enable the clinical translation of CS 4D flow, although potential hemodynamic underestimation should be considered when interpreting the results.
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Affiliation(s)
- Ashitha Pathrose
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Liliana Ma
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, USA
| | - Haben Berhane
- Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Michael B Scott
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, USA
| | - Kelvin Chow
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Chicago, Illinois, USA
| | | | - Ning Jin
- Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Chicago, Illinois, USA
| | - Ali Serhal
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Ryan Avery
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - James Carr
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, USA
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, USA
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17
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Roberts TA, van Amerom JFP, Uus A, Lloyd DFA, van Poppel MPM, Price AN, Tournier JD, Mohanadass CA, Jackson LH, Malik SJ, Pushparajah K, Rutherford MA, Razavi R, Deprez M, Hajnal JV. Fetal whole heart blood flow imaging using 4D cine MRI. Nat Commun 2020; 11:4992. [PMID: 33020487 PMCID: PMC7536221 DOI: 10.1038/s41467-020-18790-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 09/10/2020] [Indexed: 12/26/2022] Open
Abstract
Prenatal detection of congenital heart disease facilitates the opportunity for potentially life-saving care immediately after the baby is born. Echocardiography is routinely used for screening of morphological malformations, but functional measurements of blood flow are scarcely used in fetal echocardiography due to technical assumptions and issues of reliability. Magnetic resonance imaging (MRI) is readily used for quantification of abnormal blood flow in adult hearts, however, existing in utero approaches are compromised by spontaneous fetal motion. Here, we present and validate a novel method of MRI velocity-encoding combined with a motion-robust reconstruction framework for four-dimensional visualization and quantification of blood flow in the human fetal heart and major vessels. We demonstrate simultaneous 4D visualization of the anatomy and circulation, which we use to quantify flow rates through various major vessels. The framework introduced here could enable new clinical opportunities for assessment of the fetal cardiovascular system in both health and disease.
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Affiliation(s)
- Thomas A Roberts
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK.
| | - Joshua F P van Amerom
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
| | - Alena Uus
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
| | - David F A Lloyd
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
- Department of Congenital Heart Disease, Evelina Children's Hospital, London, SE1 7EH, UK
| | - Milou P M van Poppel
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
- Department of Congenital Heart Disease, Evelina Children's Hospital, London, SE1 7EH, UK
| | - Anthony N Price
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
| | - Jacques-Donald Tournier
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
| | - Chloe A Mohanadass
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
| | - Laurence H Jackson
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
| | - Shaihan J Malik
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
| | - Kuberan Pushparajah
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
- Department of Congenital Heart Disease, Evelina Children's Hospital, London, SE1 7EH, UK
| | - Mary A Rutherford
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
- Centre for the Developing Brain, King's College London, London, SE1 7EH, UK
| | - Reza Razavi
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
- Department of Congenital Heart Disease, Evelina Children's Hospital, London, SE1 7EH, UK
| | - Maria Deprez
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
| | - Joseph V Hajnal
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE1 7EH, UK
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18
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Abstract
Magnetic resonance imaging (MRI) is an appealing technology for fetal cardiovascular assessment. It can be used to visualize fetal cardiac and vascular anatomy, to quantify fetal blood flow, and to quantify fetal blood oxygen saturation and hematocrit. However, there are practical limitations to the use of conventional MRI for fetal cardiovascular assessment, including the small size and high heart rate of the human fetus, the lack of conventional cardiac gating methods to synchronize data acquisition, and the potential corruption of MRI data due to maternal respiration and unpredictable fetal movements. In this review, we discuss recent technical advances in accelerated imaging, image reconstruction, cardiac gating, and motion compensation that have enabled dynamic MRI of the fetal heart.
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19
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Marini D, van Amerom J, Saini BS, Sun L, Seed M. MR imaging of the fetal heart. J Magn Reson Imaging 2019; 51:1030-1044. [PMID: 31190452 DOI: 10.1002/jmri.26815] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 05/20/2019] [Accepted: 05/21/2019] [Indexed: 12/11/2022] Open
Abstract
In the last decade, technological advances have enabled the acquisition of high spatial and temporal resolution cardiac magnetic resonance imaging (MRI) in the fetus. Fetal cardiac MRI has emerged as an alternative to ultrasound, which may be helpful to confirm a diagnosis of congenital heart disease when ultrasound assessment is hampered, for example in late gestation or in the setting of oligohydramnios. MRI also provides unique physiologic information, including vessel blood flow, oxygen saturation and hematocrit, which may be helpful to investigate cardiac and placental diseases. In this review, we summarize some of the main techniques and significant advances in the field to date. Level of Evidence: 5 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2020;51:1030-1044.
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Affiliation(s)
- Davide Marini
- Division of Pediatric Cardiology, Department of Pediatrics, University of Toronto and Hospital for Sick Children, Toronto, ON, Canada
| | - Joshua van Amerom
- Division of Pediatric Cardiology, Department of Pediatrics, University of Toronto and Hospital for Sick Children, Toronto, ON, Canada
| | - Brahmdeep S Saini
- Division of Pediatric Cardiology, Department of Pediatrics, University of Toronto and Hospital for Sick Children, Toronto, ON, Canada
| | - Liqun Sun
- Division of Pediatric Cardiology, Department of Pediatrics, University of Toronto and Hospital for Sick Children, Toronto, ON, Canada
| | - Mike Seed
- Division of Pediatric Cardiology, Department of Pediatrics, University of Toronto and Hospital for Sick Children, Toronto, ON, Canada
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20
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van Amerom JFP, Lloyd DFA, Deprez M, Price AN, Malik SJ, Pushparajah K, van Poppel MPM, Rutherford MA, Razavi R, Hajnal JV. Fetal whole-heart 4D imaging using motion-corrected multi-planar real-time MRI. Magn Reson Med 2019; 82:1055-1072. [PMID: 31081250 PMCID: PMC6617816 DOI: 10.1002/mrm.27798] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Revised: 03/24/2019] [Accepted: 04/13/2019] [Indexed: 12/17/2022]
Abstract
Purpose To develop an MRI acquisition and reconstruction framework for volumetric cine visualization of the fetal heart and great vessels in the presence of maternal and fetal motion. Methods Four‐dimensional (4D) depiction was achieved using a highly‐accelerated multi‐planar real‐time balanced steady‐state free precession acquisition combined with retrospective image‐domain techniques for motion correction, cardiac synchronization and outlier rejection. The framework was validated using a numerical phantom and evaluated in a study of 20 mid‐ to late‐gestational age human fetal subjects (23‐33 weeks gestational age). Reconstructed MR data were compared with matched ultrasound. A preliminary assessment of flow‐sensitive reconstruction using the velocity information encoded in the phase of real‐time images is included. Results Reconstructed 4D data could be visualized in any two‐dimensional plane without the need for highly specific scan plane prescription prior to acquisition or for maternal breath hold to minimize motion. Reconstruction was fully automated aside from user‐specified masks of the fetal heart and chest. The framework proved robust when applied to fetal data and simulations confirmed that spatial and temporal features could be reliably recovered. Evaluation suggested the reconstructed framework has the potential to be used for comprehensive assessment of the fetal heart, either as an adjunct to ultrasound or in combination with other MRI techniques. Conclusions The proposed methods show promise as a framework for motion‐compensated 4D assessment of the fetal heart and great vessels.
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Affiliation(s)
- Joshua F P van Amerom
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - David F A Lloyd
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.,Department of Congenital Heart Disease, Evelina Children's Hospital, London, United Kingdom
| | - Maria Deprez
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - Anthony N Price
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - Shaihan J Malik
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - Kuberan Pushparajah
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.,Department of Congenital Heart Disease, Evelina Children's Hospital, London, United Kingdom
| | - Milou P M van Poppel
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - Mary A Rutherford
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.,Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Reza Razavi
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.,Department of Congenital Heart Disease, Evelina Children's Hospital, London, United Kingdom
| | - Joseph V Hajnal
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.,Centre for the Developing Brain, King's College London, London, United Kingdom
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