Improve myocardial strain estimation based on deformable groupwise registration with a locally low-rank dissimilarity metric.

ABSTRACT:

Background

Current mainstream cardiovascular magnetic resonance-feature tracking (CMR-FT) methods, including optical flow and pairwise registration, often suffer from the drift effect caused by accumulative tracking errors. Here, we developed a CMR-FT method based on deformable groupwise registration with a locally low-rank (LLR) dissimilarity metric to improve myocardial tracking and strain estimation accuracy.

Methods

The proposed method, Groupwise-LLR, performs feature tracking by iteratively updating the entire displacement field across all cardiac phases to minimize the sum of the patchwise signal ranks of the deformed movie. The method was compared with alternative CMR-FT methods including the Farneback optical flow, a sequentially pairwise registration method, and a g

SUBMITTER: Chen H 

PROVIDER: S-EPMC11619273 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature