CBCT-based synthetic CT generation using deep-attention cycleGAN for pancreatic adaptive radiotherapy

PURPOSE: Current clinical application of cone-beam CT (CBCT) is limited to patient setup. Imaging artifacts and Hounsfield unit (HU) inaccuracy make the process of CBCT-based adaptive planning presently impractical. In this study, we developed a deep-learning-based approach to improve CBCT image qua...

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Detalhes bibliográficos
Publicado no:Med Phys
Main Authors: Liu, Yingzi, Le, Yang, Wang, Tonghe, Fu, Yabo, Tang, Xiangyang, Curran, Walter J., Liu, Tian, Patel, Pretesh, Yang, Xiaofeng
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7762616/
https://ncbi.nlm.nih.gov/pubmed/32141618
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.14121
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