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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