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| Hauptverfasser: | , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2406.18063 |
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| _version_ | 1866909231707324416 |
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| author | Li, Mengzhou Zan, Guibin Yun, Wenbin Uher, Josef Wen, John Wang, Ge |
| author_facet | Li, Mengzhou Zan, Guibin Yun, Wenbin Uher, Josef Wen, John Wang, Ge |
| contents | We introduce an ultrahigh-resolution (50μm\) robotic micro-CT design for localized imaging of carotid plaques using robotic arms, cutting-edge detector, and machine learning technologies. To combat geometric error-induced artifacts in interior CT scans, we propose a data-driven geometry estimation method that maximizes the consistency between projection data and the reprojection counterparts of a reconstructed volume. Particularly, we use a normalized cross correlation metric to overcome the projection truncation effect. Our approach is validated on a robotic CT scan of a sacrificed mouse and a micro-CT phantom scan, both producing sharper images with finer details than that prior correction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_18063 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Data-driven imaging geometric recovery of ultrahigh resolution robotic micro-CT for in-vivo and other applications Li, Mengzhou Zan, Guibin Yun, Wenbin Uher, Josef Wen, John Wang, Ge Medical Physics Image and Video Processing We introduce an ultrahigh-resolution (50μm\) robotic micro-CT design for localized imaging of carotid plaques using robotic arms, cutting-edge detector, and machine learning technologies. To combat geometric error-induced artifacts in interior CT scans, we propose a data-driven geometry estimation method that maximizes the consistency between projection data and the reprojection counterparts of a reconstructed volume. Particularly, we use a normalized cross correlation metric to overcome the projection truncation effect. Our approach is validated on a robotic CT scan of a sacrificed mouse and a micro-CT phantom scan, both producing sharper images with finer details than that prior correction. |
| title | Data-driven imaging geometric recovery of ultrahigh resolution robotic micro-CT for in-vivo and other applications |
| topic | Medical Physics Image and Video Processing |
| url | https://arxiv.org/abs/2406.18063 |