Improve myocardial strain estimation based on deformable groupwise registration with a locally low-rank dissimilarity metric
Haiyang Chen, Juan Gao, Zhuo Chen, Chenhao Gao, Sirui Huo, Meng Jiang, Jun Pu, Chenxi Hu · 2024
Read Improve myocardial strain estimation based on deformable groupwise registration with a locally low-rank dissimilarity metric by Haiyang Chen, Juan Gao, Zhuo Chen, Chenhao Gao, Sirui Huo, Meng Jiang, Jun Pu, Chenxi Hu (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11619273.txt.
Description
Haiyang Chen and co-authors improve heart muscle tracking in MRI movies in two thousand twenty-four. Standard tracking tools follow points frame by frame, and small errors pile up into drift. Drift blurs the strain measures that show how the heart wall deforms.
Their method aligns all frames at once rather than in pairs. A local rank-based score judges how well each patch lines up across the full cycle. Tests ran on a simulated set, a public movie set, and scans from patients at their center. The new method gave the lowest tracking errors in most checks and lower strain error than rivals. Two general group methods were also beaten in most tests.
Catalog record
| CREATOR | Haiyang Chen, Juan Gao, Zhuo Chen, Chenhao Gao, Sirui Huo, Meng Jiang, Jun Pu, Chenxi Hu |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |