Cardiac diffusion tensor imaging (cDTI) as well as cardiac strain imaging both offer invaluable information on the functional state of the heart. Acquiring both, takes too long to be clinically feasible. Free breathing, cDTI acquisition with second-order motion compensated diffusion encoding waveforms display residual phase variations, that encode higher orders of contractile motion during the diffusion encoding process. This work presents a theoretical framework on how to jointly infer strain and diffusion tensors from complex-valued cDTI data with varying trigger delays.
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