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. 2021 Sep 3;8:730316. doi: 10.3389/fcvm.2021.730316

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Copyright © 2021 Morales, van den Boomen, Nguyen, Kalpathy-Cramer, Rosen, Stultz, Izquierdo-Garcia and Catana.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Qualitative effects of smoothing and anatomical regularization on the accuracy of motion estimates on the MRXCAT dataset. First row shows the predicted (black) motion estimates when the anatomical regularization is set to 0.5 and smoothing is set to 0. Relative to the ground-truth (red), these estimates are highly irregular. Increasing (third column) the smoothness to 0.1 and setting anatomical to 0.1 improves the direction of the estimates, but the magnitude is reduced. This is corrected by increasing anatomical regularization to 0.5 (fourth column).