Comparison and evaluation of different deep learning models of synthetic CT generation from CBCT for nasopharynx cancer adaptive proton therapy.

Abstract

Authors

• Bo Pang
  College of Water Sciences, Beijing Normal University; Beijing 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China. Electronic address: pb@bnu.edu.cn.
• Hang Si
  Department of Medical Physics, School of Physics and Technology, Wuhan University, Wuhan, China.
• Muyu Liu
  Department of Medical Physics, School of Physics and Technology, Wuhan University, Wuhan, China.
• Wensheng Fu
  Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Yiling Zeng
  Department of Medical Physics, School of Physics and Technology, Wuhan University, Wuhan, China.
• Hongyuan Liu
  Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Ting Cao
  Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Yu Chang
  Department of Neurology, Tianjin First Central Hospital, Tianjin, China.
• Hong Quan
  School of Physics Science and Technology, Wuhan University, Wuhan 430072, P.R.China.
• Zhiyong Yang

Keywords

External Resources