Super Phantoms: advanced models for testing medical imaging technologies
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866910400750026752 |
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| author | Manohar, Srirang Sechopoulos, Ioannis Anastasio, Mark A. Maier-Hein, Lena Rajiv Gupta |
| author_facet | Manohar, Srirang Sechopoulos, Ioannis Anastasio, Mark A. Maier-Hein, Lena Rajiv Gupta |
| contents | Phantoms are test objects used for initial testing and optimization of medical imaging techniques, but these rarely capture the complex properties of the tissue. Here we introduce super phantoms, that surpass standard phantoms being able to replicate complex anatomic and functional imaging properties of tissues and organs. These super phantoms can be computer models, inanimate physical objects, or ex-vivo organs. Testing on these super phantoms, will enable iterative improvements well before in-vivo studies, fostering innovation. We illustrate super phantom examples, address development challenges, and envision centralized facilities supporting multiple institutions in applying these models for medical advancements. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2308_12692 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Super Phantoms: advanced models for testing medical imaging technologies Manohar, Srirang Sechopoulos, Ioannis Anastasio, Mark A. Maier-Hein, Lena Rajiv Gupta Medical Physics Phantoms are test objects used for initial testing and optimization of medical imaging techniques, but these rarely capture the complex properties of the tissue. Here we introduce super phantoms, that surpass standard phantoms being able to replicate complex anatomic and functional imaging properties of tissues and organs. These super phantoms can be computer models, inanimate physical objects, or ex-vivo organs. Testing on these super phantoms, will enable iterative improvements well before in-vivo studies, fostering innovation. We illustrate super phantom examples, address development challenges, and envision centralized facilities supporting multiple institutions in applying these models for medical advancements. |
| title | Super Phantoms: advanced models for testing medical imaging technologies |
| topic | Medical Physics |
| url | https://arxiv.org/abs/2308.12692 |