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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...

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Main Authors: Jun Zhao, Zhi Chen, Jiazhou Wang, Fan Xia, Jiayuan Peng, Yiwen Hu, Weigang Hu, Zhen Zhang
Format: Artigo
Language:Inglês
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Oncology
Subjects:
MV CBCT
CycleGAN
synthetic CT
adaptive radiotherapy
rectal cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.655325/full
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