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Abstract #2814

Cardiac motion modeling using DENSE imaging to study cardiac diffusion tensor MRI

Kevin Moulin1,2, Tanjib Rahman 3, Magalie Viallon1,2, Pierre Croisille1,2, and Luigi Perotti3
1CREATIS, Lyon, France, 2Department of Radiology, University Hospital Saint-Etienne, Saint Etienne, France, 3Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, United States


Cardiac Diffusion Tensor imaging (cDTI) is a powerful non-contrast technique that can characterize cellular structure in vivo. Despite motion-compensated diffusion encoding designs, cDTI remains sensitive to unwanted cardiac motion, particularly during diastole. The lack of knowledge of the detailed interaction between real cardiac motion and motion-compensated gradients prevents more advanced diffusion encoding designs. The objective of this work is to provide a new simulation framework to study the interaction between cardiac displacements estimated in vivo from DENSE imaging and motion-compensated diffusion encoding waveforms.

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