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Ismail TF, Strugnell W, Coletti C, Božić-Iven M, Weingärtner S, Hammernik K, Correia T, Küstner T. Cardiac MR: From Theory to Practice. Front Cardiovasc Med 2022; 9:826283. [PMID: 35310962 PMCID: PMC8927633 DOI: 10.3389/fcvm.2022.826283] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/17/2022] [Indexed: 01/10/2023] Open
Abstract
Cardiovascular disease (CVD) is the leading single cause of morbidity and mortality, causing over 17. 9 million deaths worldwide per year with associated costs of over $800 billion. Improving prevention, diagnosis, and treatment of CVD is therefore a global priority. Cardiovascular magnetic resonance (CMR) has emerged as a clinically important technique for the assessment of cardiovascular anatomy, function, perfusion, and viability. However, diversity and complexity of imaging, reconstruction and analysis methods pose some limitations to the widespread use of CMR. Especially in view of recent developments in the field of machine learning that provide novel solutions to address existing problems, it is necessary to bridge the gap between the clinical and scientific communities. This review covers five essential aspects of CMR to provide a comprehensive overview ranging from CVDs to CMR pulse sequence design, acquisition protocols, motion handling, image reconstruction and quantitative analysis of the obtained data. (1) The basic MR physics of CMR is introduced. Basic pulse sequence building blocks that are commonly used in CMR imaging are presented. Sequences containing these building blocks are formed for parametric mapping and functional imaging techniques. Commonly perceived artifacts and potential countermeasures are discussed for these methods. (2) CMR methods for identifying CVDs are illustrated. Basic anatomy and functional processes are described to understand the cardiac pathologies and how they can be captured by CMR imaging. (3) The planning and conduct of a complete CMR exam which is targeted for the respective pathology is shown. Building blocks are illustrated to create an efficient and patient-centered workflow. Further strategies to cope with challenging patients are discussed. (4) Imaging acceleration and reconstruction techniques are presented that enable acquisition of spatial, temporal, and parametric dynamics of the cardiac cycle. The handling of respiratory and cardiac motion strategies as well as their integration into the reconstruction processes is showcased. (5) Recent advances on deep learning-based reconstructions for this purpose are summarized. Furthermore, an overview of novel deep learning image segmentation and analysis methods is provided with a focus on automatic, fast and reliable extraction of biomarkers and parameters of clinical relevance.
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Affiliation(s)
- Tevfik F. Ismail
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
- Cardiology Department, Guy's and St Thomas' Hospital, London, United Kingdom
| | - Wendy Strugnell
- Queensland X-Ray, Mater Hospital Brisbane, Brisbane, QLD, Australia
| | - Chiara Coletti
- Magnetic Resonance Systems Lab, Delft University of Technology, Delft, Netherlands
| | - Maša Božić-Iven
- Magnetic Resonance Systems Lab, Delft University of Technology, Delft, Netherlands
- Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany
| | | | - Kerstin Hammernik
- Lab for AI in Medicine, Technical University of Munich, Munich, Germany
- Department of Computing, Imperial College London, London, United Kingdom
| | - Teresa Correia
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
- Centre of Marine Sciences, Faro, Portugal
| | - Thomas Küstner
- Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany
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Bonanno G, Weiss RG, Piccini D, Yerly J, Soleimani S, Pan L, Bi X, Hays AG, Stuber M, Schär M. Volumetric coronary endothelial function assessment: a feasibility study exploiting stack-of-stars 3D cine MRI and image-based respiratory self-gating. NMR IN BIOMEDICINE 2021; 34:e4589. [PMID: 34291517 PMCID: PMC8969584 DOI: 10.1002/nbm.4589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 06/25/2021] [Indexed: 06/13/2023]
Abstract
Abnormal coronary endothelial function (CEF), manifesting as depressed vasoreactive responses to endothelial-specific stressors, occurs early in atherosclerosis, independently predicts cardiovascular events, and responds to cardioprotective interventions. CEF is spatially heterogeneous along a coronary artery in patients with atherosclerosis, and thus recently developed and tested non-invasive 2D MRI techniques to measure CEF may not capture the extent of changes in CEF in a given coronary artery. The purpose of this study was to develop and test the first volumetric coronary 3D MRI cine method for assessing CEF along the proximal and mid-coronary arteries with isotropic spatial resolution and in free-breathing. This approach, called 3D-Stars, combines a 6 min continuous, untriggered golden-angle stack-of-stars acquisition with a novel image-based respiratory self-gating method and cardiac and respiratory motion-resolved reconstruction. The proposed respiratory self-gating method agreed well with respiratory bellows and center-of-k-space methods. In healthy subjects, 3D-Stars vessel sharpness was non-significantly different from that by conventional 2D radial in proximal segments, albeit lower in mid-portions. Importantly, 3D-Stars detected normal vasodilatation of the right coronary artery in response to endothelial-dependent isometric handgrip stress in healthy subjects. Coronary artery cross-sectional areas measured using 3D-Stars were similar to those from 2D radial MRI when similar thresholding was used. In conclusion, 3D-Stars offers good image quality and shows feasibility for non-invasively studying vasoreactivity-related lumen area changes along the proximal coronary artery in 3D during free-breathing.
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Affiliation(s)
- Gabriele Bonanno
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Russel H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Robert G. Weiss
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Russel H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Davide Piccini
- Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland
| | - Jérôme Yerly
- Department of Radiology, University Hospital of Lausanne, Lausanne, Switzerland
- Center for Biomedical Imaging (CIBM), University Hospital of Lausanne, Lausanne, Switzerland
| | - Sahar Soleimani
- Russel H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Li Pan
- Siemens Medical Solutions USA, Inc, Baltimore, MD, USA
| | - Xiaoming Bi
- Siemens Medical Solutions USA, Inc, Los Angeles, CA, USA
| | - Allison G Hays
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Matthias Stuber
- Department of Radiology, University Hospital of Lausanne, Lausanne, Switzerland
- Center for Biomedical Imaging (CIBM), University Hospital of Lausanne, Lausanne, Switzerland
| | - Michael Schär
- Russel H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
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3
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Nguyen KL, Ghosh RM, Griffin LM, Yoshida T, Bedayat A, Rigsby CK, Fogel MA, Whitehead KK, Hu P, Finn JP. Four-dimensional Multiphase Steady-State MRI with Ferumoxytol Enhancement: Early Multicenter Feasibility in Pediatric Congenital Heart Disease. Radiology 2021; 300:162-173. [PMID: 33876971 DOI: 10.1148/radiol.2021203696] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background The value of MRI in pediatric congenital heart disease (CHD) is well recognized; however, the requirement for expert oversight impedes its widespread use. Four-dimensional (4D) multiphase steady-state imaging with contrast enhancement (MUSIC) is a cardiovascular MRI technique that uses ferumoxytol and captures all anatomic features dynamically. Purpose To evaluate multicenter feasibility of 4D MUSIC MRI in pediatric CHD. Materials and Methods In this prospective study, participants with CHD underwent 4D MUSIC MRI at 3.0 T or 1.5 T between 2014 and 2020. From a pool of 460 total studies, an equal number of MRI studies from three sites (n = 60) was chosen for detailed analysis. With use of a five-point scale, the feasibility of 4D MUSIC was scored on the basis of artifacts, image quality, and diagnostic confidence for intracardiac and vascular connections (n = 780). Respiratory motion suppression was assessed by using the signal intensity profile. Bias between 4D MUSIC and two-dimensional (2D) cine imaging was evaluated by using Bland-Altman analysis; 4D MUSIC examination duration was compared with that of the local standard for CHD. Results A total of 206 participants with CHD underwent MRI at 3.0 T, and 254 participants underwent MRI at 1.5 T. Of the 60 MRI examinations chosen for analysis (20 per site; median participant age, 14.4 months [interquartile range, 2.3-49 months]; 33 female participants), 56 (93%) had good or excellent image quality scores across a spectrum of disease complexity (mean score ± standard deviation: 4.3 ± 0.6 for site 1, 4.9 ± 0.3 for site 2, and 4.6 ± 0.7 for site 3; P < .001). Artifact scores were inversely related to image quality (r = -0.88, P < .001) and respiratory motion suppression (P < .001, r = -0.45). Diagnostic confidence was high or definite in 730 of 780 (94%) intracardiac and vascular connections. The correlation between 4D MUSIC and 2D cine ventricular volumes and ejection fraction was high (range of r = 0.72-0.85; P < .001 for all). Compared with local standard MRI, 4D MUSIC reduced the image acquisition time (44 minutes ± 20 vs 12 minutes ± 3, respectively; P < .001). Conclusion Four-dimensional multiphase steady-state imaging with contrast enhancement MRI in pediatric congenital heart disease was feasible in a multicenter setting, shortened the examination time, and simplified the acquisition protocol, independently of disease complexity. Clinical trial registration no. NCT02752191 © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Roest and Lamb in this issue.
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Affiliation(s)
- Kim-Lien Nguyen
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Reena M Ghosh
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Lindsay M Griffin
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Takegawa Yoshida
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Arash Bedayat
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Cynthia K Rigsby
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Mark A Fogel
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Kevin K Whitehead
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - Peng Hu
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
| | - J Paul Finn
- From the Diagnostic Cardiovascular Imaging Laboratory, Department of Radiological Sciences (K.L.N., T.Y., A.B., P.H., J.P.F.), and Division of Cardiology (K.L.N.), David Geffen School of Medicine at UCLA, 300 Medical Plaza, B119, Los Angeles, CA 90095; VA Greater Los Angeles Healthcare System, Los Angeles, Calif (K.L.N.); Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa (R.M.G., M.A.F., K.K.W.); Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, Ill (L.M.G., C.K.R.); and Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (L.M.G., C.K.R.)
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4
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Abstract
Classification of heart failure is based on the left ventricular ejection fraction (EF): preserved EF, midrange EF, and reduced EF. There remains an unmet need for further heart failure phenotyping of ventricular structure-function relationships. Because of high spatiotemporal resolution, cardiac magnetic resonance (CMR) remains the reference modality for quantification of ventricular contractile function. The authors aim to highlight novel frameworks, including theranostic use of ferumoxytol, to enable more efficient evaluation of ventricular function in heart failure patients who are also frequently anemic, and to discuss emerging quantitative CMR approaches for evaluation of ventricular structure-function relationships in heart failure.
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5
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Feng L, Coppo S, Piccini D, Yerly J, Lim RP, Masci PG, Stuber M, Sodickson DK, Otazo R. 5D whole-heart sparse MRI. Magn Reson Med 2017; 79:826-838. [PMID: 28497486 DOI: 10.1002/mrm.26745] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Revised: 04/09/2017] [Accepted: 04/11/2017] [Indexed: 01/18/2023]
Abstract
PURPOSE A 5D whole-heart sparse imaging framework is proposed for simultaneous assessment of myocardial function and high-resolution cardiac and respiratory motion-resolved whole-heart anatomy in a single continuous noncontrast MR scan. METHODS A non-electrocardiograph (ECG)-triggered 3D golden-angle radial balanced steady-state free precession sequence was used for data acquisition. The acquired 3D k-space data were sorted into a 5D dataset containing separated cardiac and respiratory dimensions using a self-extracted respiratory motion signal and a recorded ECG signal. Images were then reconstructed using XD-GRASP, a multidimensional compressed sensing technique exploiting correlations/sparsity along cardiac and respiratory dimensions. 5D whole-heart imaging was compared with respiratory motion-corrected 3D and 4D whole-heart imaging in nine volunteers for evaluation of the myocardium, great vessels, and coronary arteries. It was also compared with breath-held, ECG-gated 2D cardiac cine imaging for validation of cardiac function quantification. RESULTS 5D whole-heart images received systematic higher quality scores in the myocardium, great vessels and coronary arteries. Quantitative coronary sharpness and length were always better for the 5D images. Good agreement was obtained for quantification of cardiac function compared with 2D cine imaging. CONCLUSION 5D whole-heart sparse imaging represents a robust and promising framework for simplified comprehensive cardiac MRI without the need for breath-hold and motion correction. Magn Reson Med 79:826-838, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Li Feng
- Center for Advanced Imaging Innovation and Research (CAI2R), and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Simone Coppo
- Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.,Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
| | - Davide Piccini
- Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.,Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland
| | - Jerome Yerly
- Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.,Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
| | - Ruth P Lim
- Department of Radiology, Austin Health and The University of Melbourne, Melbourne, Victoria, Australia
| | - Pier Giorgio Masci
- Division of Cardiology and Cardiac MR Center, University Hospital (CHUV), Lausanne, Switzerland
| | - Matthias Stuber
- Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.,Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
| | - Daniel K Sodickson
- Center for Advanced Imaging Innovation and Research (CAI2R), and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Ricardo Otazo
- Center for Advanced Imaging Innovation and Research (CAI2R), and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA
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6
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Benkert T, Feng L, Sodickson DK, Chandarana H, Block KT. Free-breathing volumetric fat/water separation by combining radial sampling, compressed sensing, and parallel imaging. Magn Reson Med 2016; 78:565-576. [PMID: 27612300 DOI: 10.1002/mrm.26392] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 08/01/2016] [Accepted: 08/01/2016] [Indexed: 12/18/2022]
Abstract
PURPOSE Conventional fat/water separation techniques require that patients hold breath during abdominal acquisitions, which often fails and limits the achievable spatial resolution and anatomic coverage. This work presents a novel approach for free-breathing volumetric fat/water separation. METHODS Multiecho data are acquired using a motion-robust radial stack-of-stars three-dimensional GRE sequence with bipolar readout. To obtain fat/water maps, a model-based reconstruction is used that accounts for the off-resonant blurring of fat and integrates both compressed sensing and parallel imaging. The approach additionally enables generation of respiration-resolved fat/water maps by detecting motion from k-space data and reconstructing different respiration states. Furthermore, an extension is described for dynamic contrast-enhanced fat-water-separated measurements. RESULTS Uniform and robust fat/water separation is demonstrated in several clinical applications, including free-breathing noncontrast abdominal examination of adults and a pediatric subject with both motion-averaged and motion-resolved reconstructions, as well as in a noncontrast breast exam. Furthermore, dynamic contrast-enhanced fat/water imaging with high temporal resolution is demonstrated in the abdomen and breast. CONCLUSION The described framework provides a viable approach for motion-robust fat/water separation and promises particular value for clinical applications that are currently limited by the breath-holding capacity or cooperation of patients. Magn Reson Med 78:565-576, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Thomas Benkert
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA.,Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Li Feng
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA.,Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Daniel K Sodickson
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA.,Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Hersh Chandarana
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA.,Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Kai Tobias Block
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA.,Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA
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7
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Coppo S, Piccini D, Bonanno G, Chaptinel J, Vincenti G, Feliciano H, van Heeswijk RB, Schwitter J, Stuber M. Free-running 4D whole-heart self-navigated golden angle MRI: Initial results. Magn Reson Med 2014; 74:1306-16. [PMID: 25376772 DOI: 10.1002/mrm.25523] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Revised: 10/01/2014] [Accepted: 10/16/2014] [Indexed: 12/22/2022]
Abstract
PURPOSE To test the hypothesis that both coronary anatomy and ventricular function can be assessed simultaneously using a single four-dimensional (4D) acquisition. METHODS A free-running 4D whole-heart self-navigated acquisition incorporating a golden angle radial trajectory was implemented and tested in vivo in nine healthy adult human subjects. Coronary magnetic resonance angiography (MRA) datasets with retrospective selection of acquisition window width and position were extracted and quantitatively compared with baseline self-navigated electrocardiography (ECG) -triggered coronary MRA. From the 4D datasets, the left-ventricular end-systolic, end-diastolic volumes (ESV & EDV) and ejection fraction (EF) were computed and compared with values obtained from conventional 2D cine images. RESULTS The 4D datasets enabled dynamic assessment of the whole heart with isotropic spatial resolution of 1.15 mm(3). Coronary artery image quality was very similar to that of the ECG-triggered baseline scan despite some SNR penalty. A good agreement between 4D and 2D cine imaging was found for EDV, ESV, and EF. CONCLUSION The hypothesis that both coronary anatomy and ventricular function can be assessed simultaneously in vivo has been tested positive. Retrospective and flexible acquisition window selection allows to best visualize each coronary segment at its individual time point of quiescence.
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Affiliation(s)
- Simone Coppo
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland.,Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Davide Piccini
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland.,Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.,Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland
| | - Gabriele Bonanno
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland.,Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Jérôme Chaptinel
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland.,Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Gabriella Vincenti
- Department of Cardiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Hélène Feliciano
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland.,Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Ruud B van Heeswijk
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland.,Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Juerg Schwitter
- Department of Cardiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Matthias Stuber
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland.,Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
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8
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Pang J, Sharif B, Fan Z, Bi X, Arsanjani R, Berman DS, Li D. ECG and navigator-free four-dimensional whole-heart coronary MRA for simultaneous visualization of cardiac anatomy and function. Magn Reson Med 2014; 72:1208-17. [PMID: 25216287 DOI: 10.1002/mrm.25450] [Citation(s) in RCA: 85] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2014] [Revised: 08/17/2014] [Accepted: 08/22/2014] [Indexed: 11/08/2022]
Abstract
PURPOSE To develop a cardiac and respiratory self-gated four-dimensional (4D) coronary MRA technique for simultaneous cardiac anatomy and function visualization. METHODS A contrast-enhanced, ungated spoiled gradient echo sequence with self-gating (SG) and 3DPR trajectory was used for image acquisition. Data were retrospectively binned into different cardiac and respiratory phases based on information extracted from SG projections using principal component analysis. Each cardiac phase was reconstructed using a respiratory motion-corrected self-calibrating SENSE framework, and those belong to the quiescent period were retrospectively combined for coronary visualization. Healthy volunteer studies were conducted to evaluate the efficacy of the SG method, the accuracy of the left ventricle (LV) function parameters and the quality of coronary artery visualization. RESULTS SG performed reliably for all subjects including one with poor electrocardiogram (ECG). The LV function parameters showed excellent agreement with those from a conventional cine protocol. For coronary imaging, the proposed method yielded comparable apparent signal to noise ratio and coronary sharpness and lower apparent contrast to noise ratio on three subjects compared with an ECG and navigator-gated Cartesian protocol and an ECG-gated, respiratory motion-corrected 3DPR protocol. CONCLUSION A fully self-gated 4D whole-heart imaging technique was developed, potentially allowing cardiac anatomy and function assessment from a single measurement.
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Affiliation(s)
- Jianing Pang
- Department of Radiology and Biomedical Engineering, Northwestern University, Chicago, Illinois, USA; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
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Liu J, Glenn OA, Xu D. Fast, free-breathing, in vivo fetal imaging using time-resolved 3D MRI technique: preliminary results. Quant Imaging Med Surg 2014; 4:123-8. [PMID: 24834424 DOI: 10.3978/j.issn.2223-4292.2014.04.08] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2014] [Accepted: 04/21/2014] [Indexed: 11/14/2022]
Abstract
Fetal MR imaging is very challenging due to the movement of fetus and the breathing motion of the mother. Current clinical protocols involve quick 2D scouting scans to determine scan plane and often several attempts to reorient the scan plane when the fetus moves. This makes acquisition of fetal MR images clinically challenging and results in long scan times in order to obtain images that are of diagnostic quality. Compared to 2D imaging, 3D imaging of the fetus has many advantages such as higher SNR and ability to reformat images in multiple planes. However, it is more sensitive to motion and challenging for fetal imaging due to irregular fetal motion in addition to maternal breathing and cardiac motion. This aim of this study is to develop a fast 3D fetal imaging technique to resolve the challenge of imaging the moving fetus. This 3D imaging sequence has multi-echo radial sampling in-plane and conventional Cartesian encoding through plane, which provides motion robustness and high data acquisition efficiency. The utilization of a golden-ratio based projection profile allows flexible time-resolved image reconstruction with arbitrary temporal resolution at arbitrary time points as well as high signal-to-noise and contrast-to-noise ratio. The nice features of the developed image technique allow the 3D visualization of the movements occurring throughout the scan. In this study, we applied this technique to three human subjects for fetal MRI and achieved promising preliminary results of fetal brain, heart and lung imaging.
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Affiliation(s)
- Jing Liu
- 1 Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA ; 2 Joint UCSF/UC Berkeley Graduate Group in Bioengineering, San Francisco, California, USA
| | - Orit A Glenn
- 1 Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA ; 2 Joint UCSF/UC Berkeley Graduate Group in Bioengineering, San Francisco, California, USA
| | - Duan Xu
- 1 Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA ; 2 Joint UCSF/UC Berkeley Graduate Group in Bioengineering, San Francisco, California, USA
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