| Title: |
Low-rank based motion correction followed by automatic frame selection in DT-CMR |
| Authors: |
Wang, Fanwen, Ferreira, Pedro F., Munoz, Camila, Wen, Ke, Luo, Yaqing, Huang, Jiahao, Wu, Yinzhe, Pennell, Dudley J., Scott, Andrew D., Nielles-Vallespin, Sonia, Yang, Guang |
| Source: |
ISMRM 2024 Digital poster 2141 |
| Publication Year: |
2024 |
| Collection: |
Physics (Other) |
| Subject Terms: |
Electrical Engineering and Systems Science - Image and Video Processing, Physics - Medical Physics |
| More Details: |
Motivation: Post-processing of in-vivo diffusion tensor CMR (DT-CMR) is challenging due to the low SNR and variation in contrast between frames which makes image registration difficult, and the need to manually reject frames corrupted by motion. Goals: To develop a semi-automatic post-processing pipeline for robust DT-CMR registration and automatic frame selection. Approach: We used low intrinsic rank averaged frames as the reference to register other low-ranked frames. A myocardium-guided frame selection rejected the frames with signal loss, through-plane motion and poor registration. Results: The proposed method outperformed our previous noise-robust rigid registration on helix angle data quality and reduced negative eigenvalues in healthy volunteers.
Comment: Accepted as ISMRM 2024 Digital poster 2141 |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/2406.13708 |
| Accession Number: |
edsarx.2406.13708 |
| Database: |
arXiv |
