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

Internet

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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