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dc.contributor.authorPiccini, Davide-
dc.contributor.authorFeng, Li-
dc.contributor.authorBonanno, Gabriele-
dc.contributor.authorCoppo, Simone-
dc.contributor.authorYerly, Jérôme-
dc.contributor.authorLim, Ruth P-
dc.contributor.authorSchwitter, Juerg-
dc.contributor.authorSodickson, Daniel K-
dc.contributor.authorOtazo, Ricardo-
dc.contributor.authorStuber, Matthias-
dc.identifier.citationMagnetic resonance in medicine 2017; 77(4): 1473-1484-
dc.description.abstractFree-breathing whole-heart coronary MR angiography (MRA) commonly uses navigators to gate respiratory motion, resulting in lengthy and unpredictable acquisition times. Conversely, self-navigation has 100% scan efficiency, but requires motion correction over a broad range of respiratory displacements, which may introduce image artifacts. We propose replacing navigators and self-navigation with a respiratory motion-resolved reconstruction approach. Using a respiratory signal extracted directly from the imaging data, individual signal-readouts are binned according to their respiratory states. The resultant series of undersampled images are reconstructed using an extradimensional golden-angle radial sparse parallel imaging (XD-GRASP) algorithm, which exploits sparsity along the respiratory dimension. Whole-heart coronary MRA was performed in 11 volunteers and four patients with the proposed methodology. Image quality was compared with that obtained with one-dimensional respiratory self-navigation. Respiratory-resolved reconstruction effectively suppressed respiratory motion artifacts. The quality score for XD-GRASP reconstructions was greater than or equal to self-navigation in 80/88 coronary segments, reaching diagnostic quality in 61/88 segments versus 41/88. Coronary sharpness and length were always superior for the respiratory-resolved datasets, reaching statistical significance (P < 0.05) in most cases. XD-GRASP represents an attractive alternative for handling respiratory motion in free-breathing whole heart MRI and provides an effective alternative to self-navigation. Magn Reson Med 77:1473-1484, 2017. © 2016 International Society for Magnetic Resonance in Medicine.-
dc.subjectcompressed sensing-
dc.subjectcoronary MRA-
dc.subjectfree breathing-
dc.subjectmotion correction-
dc.subjectsparse reconstruction-
dc.titleFour-dimensional respiratory motion-resolved whole heart coronary MR angiography.-
dc.typeJournal Article-
dc.identifier.journaltitleMagnetic resonance in medicine-
dc.identifier.affiliationAdvanced Clinical Imaging Technology, Siemens Healthcare, LaUSAnne, Switzerland-
dc.identifier.affiliationCenter for Advanced Imaging Innovation and Research, and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA-
dc.identifier.affiliationDepartment of Radiology, University Hospital and University of LaUSAnne, LaUSAnne, Switzerland-
dc.identifier.affiliationCenter for Biomedical Imaging, LaUSAnne, Switzerland-
dc.identifier.affiliationThe University of Melbourne, Melbourne, Victoria, Australia-
dc.identifier.affiliationDivision of Cardiology and Cardiac MR Center, University Hospital of LaUSAnne, LaUSAnne, Switzerland-
dc.identifier.affiliationDepartment of Radiology, Austin Health, Heidelberg, Victoria, Australia-
dc.type.austinJournal Article-
dc.type.austinResearch Support, N.I.H., Extramural-
dc.type.austinResearch Support, Non-U.S. Gov't-
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