A Transformer-enhanced Iterative Unrolling Network for Sparse-view CT Image Reconstruction
Radiation dose reduction in computed tomography (CT) can be achieved by decreasing the number of projections. However, reconstructing CT images via filtered back projection algorithm from sparse-view projections often contains severe streak artifacts, affecting clinical diagnosis. To address this is...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Editorial Office of Computerized Tomography Theory and Application
2025-09-01
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| Serie: | CT Lilun yu yingyong yanjiu |
| Soggetti: | |
| Accesso online: | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2025.044 |
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