Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866909211652259840 |
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| author | Qayyum, Abdul Mazher, Moona Lee, Angela Solis-Lemus, Jose A Razzak, Imran Niederer, Steven A |
| author_facet | Qayyum, Abdul Mazher, Moona Lee, Angela Solis-Lemus, Jose A Razzak, Imran Niederer, Steven A |
| contents | Unlike Right Atrium (RA), Left Atrium (LA) presents distinctive challenges, including much thinner myocardial walls, complex and irregular morphology, as well as diversity in individual's structure, making off-the-shelf methods designed for the Left Ventricle (LV) may not work in the context of the left atrium. To overcome aforementioned challenges, we are the first to present comprehensive technical workflow designed for 4D registration modeling to automatically analyze LA motion using high-resolution 3D Cine MR images. We integrate segmentation network and 4D registration process to precisely delineate LA segmentation throughout the full cardiac cycle. Additionally, an image 4D registration network is employed to extract LA displacement vector fields (DVFs). Our findings show the potential of proposed end to end framework in providing clinicians with novel regional biomarkers for left atrium motion tracking and deformation, carrying significant clinical implications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_17518 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle Qayyum, Abdul Mazher, Moona Lee, Angela Solis-Lemus, Jose A Razzak, Imran Niederer, Steven A Image and Video Processing Computer Vision and Pattern Recognition Unlike Right Atrium (RA), Left Atrium (LA) presents distinctive challenges, including much thinner myocardial walls, complex and irregular morphology, as well as diversity in individual's structure, making off-the-shelf methods designed for the Left Ventricle (LV) may not work in the context of the left atrium. To overcome aforementioned challenges, we are the first to present comprehensive technical workflow designed for 4D registration modeling to automatically analyze LA motion using high-resolution 3D Cine MR images. We integrate segmentation network and 4D registration process to precisely delineate LA segmentation throughout the full cardiac cycle. Additionally, an image 4D registration network is employed to extract LA displacement vector fields (DVFs). Our findings show the potential of proposed end to end framework in providing clinicians with novel regional biomarkers for left atrium motion tracking and deformation, carrying significant clinical implications. |
| title | Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle |
| topic | Image and Video Processing Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2405.17518 |