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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.13708 |
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| _version_ | 1866929392074096640 |
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| author | 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 |
| author_facet | 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 |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_13708 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Low-rank based motion correction followed by automatic frame selection in DT-CMR 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 Image and Video Processing Medical Physics 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. |
| title | Low-rank based motion correction followed by automatic frame selection in DT-CMR |
| topic | Image and Video Processing Medical Physics |
| url | https://arxiv.org/abs/2406.13708 |