Cardiac motion can be efficiently assessed using 3D-tagged MR sequences for diagnostic purposes. However, there is a lack of robust post-processing tools to derive regional motion and strain data. Current registration methods tend to underestimate radial strain in the left ventricle. In order to provide accurate strain estimates we leverage temporal smoothness of displacements and low-rank structure of aligned images. The herein proposed method is 38% more accurate for radial strain, 27% for circumferential strain and 25% for longitudinal strain estimation than state-of-the-art registration implemented in Elastix while increasing computational speed by a factor of six.
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