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Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy

OBJECTIVE: To develop high-quality synthetic CT (sCT) generation method from low-dose cone-beam CT (CBCT) images by using attention-guided generative adversarial networks (AGGAN) and apply these images to dose calculations in radiotherapy. METHODS: The CBCT/planning CT images of 170 patients undergo...

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Detalles Bibliográficos
Autores principales:	Gao, Liugang, Xie, Kai, Wu, Xiaojin, Lu, Zhengda, Li, Chunying, Sun, Jiawei, Lin, Tao, Sui, Jianfeng, Ni, Xinye
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2021
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515667/ https://www.ncbi.nlm.nih.gov/pubmed/34649572 http://dx.doi.org/10.1186/s13014-021-01928-w

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