Edge Projection-Based Adaptive View Selection for Cone-Beam CT
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866929425372676096 |
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| author | Lin, Jingsong Venkatakrishnan, Singanallur Buzzard, Gregery Ziabari, Amir Koushyar Bouman, Charles |
| author_facet | Lin, Jingsong Venkatakrishnan, Singanallur Buzzard, Gregery Ziabari, Amir Koushyar Bouman, Charles |
| contents | Industrial cone-beam X-ray computed tomography (CT) scans of additively manufactured components produce a 3D reconstruction from projection measurements acquired at multiple predetermined rotation angles of the component about a single axis. Typically, a large number of projections are required to achieve a high-quality reconstruction, a process that can span several hours or days depending on the part size, material composition, and desired resolution. This paper introduces a novel real-time system designed to optimize the scanning process by intelligently selecting the best next angle based on the object's geometry and computer-aided design (CAD) model. This selection process strategically balances the need for measurements aligned with the part's long edges against the need for maintaining a diverse set of overall measurements. Through simulations, we demonstrate that our algorithm significantly reduces the number of projections needed to achieve high-quality reconstructions compared to traditional methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_12963 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Edge Projection-Based Adaptive View Selection for Cone-Beam CT Lin, Jingsong Venkatakrishnan, Singanallur Buzzard, Gregery Ziabari, Amir Koushyar Bouman, Charles Image and Video Processing Industrial cone-beam X-ray computed tomography (CT) scans of additively manufactured components produce a 3D reconstruction from projection measurements acquired at multiple predetermined rotation angles of the component about a single axis. Typically, a large number of projections are required to achieve a high-quality reconstruction, a process that can span several hours or days depending on the part size, material composition, and desired resolution. This paper introduces a novel real-time system designed to optimize the scanning process by intelligently selecting the best next angle based on the object's geometry and computer-aided design (CAD) model. This selection process strategically balances the need for measurements aligned with the part's long edges against the need for maintaining a diverse set of overall measurements. Through simulations, we demonstrate that our algorithm significantly reduces the number of projections needed to achieve high-quality reconstructions compared to traditional methods. |
| title | Edge Projection-Based Adaptive View Selection for Cone-Beam CT |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2407.12963 |