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

Abstract 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...

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Autori principali: Liugang Gao, Kai Xie, Xiaojin Wu, Zhengda Lu, Chunying Li, Jiawei Sun, Tao Lin, Jianfeng Sui, Xinye Ni
Natura: Artigo
Lingua:Inglês
Pubblicazione: BMC 2021-10-01
Serie:Radiation Oncology
Soggetti:
Synthetic CT
Low-dose CBCT
Attention-guided GAN
Unpaired
Adaptive radiotherapy
Accesso online:https://doi.org/10.1186/s13014-021-01928-w
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