Total Variation Regularization for Tomographic Reconstruction of Cylindrically Symmetric Objects
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909231631826944 |
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| author | Hossain, Maliha Bouman, Charles A. Wohlberg, Brendt |
| author_facet | Hossain, Maliha Bouman, Charles A. Wohlberg, Brendt |
| contents | Flash X-ray computed tomography (CT) is an important imaging modality for characterization of high-speed dynamic events, such as Kolsky bar impact experiments for the study of mechanical properties of materials subjected to impulsive forces. Due to experimental constraints, the number of X-ray views that can be obtained is typically very sparse in both space and time, requiring strong priors in order to enable a CT reconstruction. In this paper, we propose an effective method for exploiting the cylindrical symmetry inherent in the experiment via a variant of total variation (TV) regularization that operates in cylindrical coordinates, and demonstrate that it outperforms competing approaches. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_17928 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Total Variation Regularization for Tomographic Reconstruction of Cylindrically Symmetric Objects Hossain, Maliha Bouman, Charles A. Wohlberg, Brendt Image and Video Processing Flash X-ray computed tomography (CT) is an important imaging modality for characterization of high-speed dynamic events, such as Kolsky bar impact experiments for the study of mechanical properties of materials subjected to impulsive forces. Due to experimental constraints, the number of X-ray views that can be obtained is typically very sparse in both space and time, requiring strong priors in order to enable a CT reconstruction. In this paper, we propose an effective method for exploiting the cylindrical symmetry inherent in the experiment via a variant of total variation (TV) regularization that operates in cylindrical coordinates, and demonstrate that it outperforms competing approaches. |
| title | Total Variation Regularization for Tomographic Reconstruction of Cylindrically Symmetric Objects |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2406.17928 |