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Abstract #0027

Five-Dimensional Cardiac and Respiratory Motion-Resolved Whole-Heart MRI

Li Feng 1 , Simone Coppo 2 , Davide Piccini 2,3 , Ruth P Lim 4 , Matthias Stuber 2 , Daniel K Sodickson 1 , and Ricardo Otazo 1

1 Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, 2 Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL) / Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 3 Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland, 4 Department of Radiology, Austin Health and The University of Melbourne, Melbourne, Victoria, Australia

A framework for five-dimensional (5D) whole-heart MRI is described in this work. Continuously acquired 3D golden-angle radial k-space data are retrospectively sorted into a 5D (x-y-z-cardiac-respiration) image set containing one cardiac motion dimension and one respiratory motion dimension using cardiac and respiratory motion signals. The undersampled 5D images are reconstructed using compressed sensing that exploits sparsity along both cardiac and respiratory dimensions. The method enables both high isotropic spatial resolution and high temporal resolution, allowing simultaneous assessment of myocardial function and visualization of cardiac and respiratory motion-resolved coronary arteries.

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