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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