Radiation design in computed tomography via convex optimization
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| _version_ | 1866916077236125696 |
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| author | Juditsky, Anatoli Nemirovski, Arkadi Zibulevsky, Michael |
| author_facet | Juditsky, Anatoli Nemirovski, Arkadi Zibulevsky, Michael |
| contents | Proper X-ray radiation design (via dynamic fluence field modulation, FFM) allows to reduce effective radiation dose in computed tomography without compromising image quality. It takes into account patient anatomy, radiation sensitivity of different organs and tissues, and location of regions of interest. We account all these factors within a general convex optimization framework. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2301_03379 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Radiation design in computed tomography via convex optimization Juditsky, Anatoli Nemirovski, Arkadi Zibulevsky, Michael Medical Physics Optimization and Control Applications Computation Proper X-ray radiation design (via dynamic fluence field modulation, FFM) allows to reduce effective radiation dose in computed tomography without compromising image quality. It takes into account patient anatomy, radiation sensitivity of different organs and tissues, and location of regions of interest. We account all these factors within a general convex optimization framework. |
| title | Radiation design in computed tomography via convex optimization |
| topic | Medical Physics Optimization and Control Applications Computation |
| url | https://arxiv.org/abs/2301.03379 |