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Improving CBCT image quality to the CT level using RegGAN in esophageal cancer adaptive radiotherapy

OBJECTIVE: This study aimed to improve the image quality and CT Hounsfield unit accuracy of daily cone-beam computed tomography (CBCT) using registration generative adversarial networks (RegGAN) and apply synthetic CT (sCT) images to dose calculations in radiotherapy. METHODS: The CBCT/planning CT i...

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Detalles Bibliográficos
Autores principales:	Wang, Hao, Liu, Xiao, Kong, Lingke, Huang, Ying, Chen, Hua, Ma, Xiurui, Duan, Yanhua, Shao, Yan, Feng, Aihui, Shen, Zhenjiong, Gu, Hengle, Kong, Qing, Xu, Zhiyong, Zhou, Yongkang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2023
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10133081/ https://www.ncbi.nlm.nih.gov/pubmed/36688953 http://dx.doi.org/10.1007/s00066-022-02039-5

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