MV CBCT-Based Synthetic CT Generation Using a Deep Learning Method for Rectal Cancer Adaptive Radiotherapy

MV CBCT-Based Synthetic CT Generation Using a Deep Learning Method for Rectal Cancer Adaptive Radiotherapy

Due to image quality limitations, online Megavoltage cone beam CT (MV CBCT), which represents real online patient anatomy, cannot be used to perform adaptive radiotherapy (ART). In this study, we used a deep learning method, the cycle-consistent adversarial network (CycleGAN), to improve the MV CBCT...

Полное описание

Библиографические подробности
Главные авторы: Jun Zhao, Zhi Chen, Jiazhou Wang, Fan Xia, Jiayuan Peng, Yiwen Hu, Weigang Hu, Zhen Zhang
Формат: Статья
Язык:English
Опубликовано: Frontiers Media S.A. 2021-05-01
Серии:Frontiers in Oncology
Предметы:
MV CBCT
CycleGAN
synthetic CT
adaptive radiotherapy
rectal cancer
Online-ссылка:https://www.frontiersin.org/articles/10.3389/fonc.2021.655325/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.655325/full

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