Eliminating the second CT scan of dual-tracer total-body PET/CT via deep learning-based image synthesis and registration.

Abstract

Authors

• Yu Lin
  Research School of Computer Science, Australian National University, Canberra, 2601, ACT, Australia.
• Kang Wang
  Department of Orthopedics, Third Hospital of Changsha, Changsha 410015.
• Zhe Zheng
  National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, People's Republic of China.
• Haojun Yu
  Shanghai Institute of Medical Imaging, Shanghai, 200032, China.
• Shuguang Chen
  Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180, Fenglin Road, Shanghai, 200032, People's Republic of China.
• WenXin Tang
  Shanghai Institute of Medical Imaging, Shanghai, 200032, China.
• Yibo He
  School of AI and Advanced Computing, Xian Jiaotong Liverpool University, Suzhou 215123, China.
• Huaping Gao
  Shanghai Institute of Medical Imaging, Shanghai, 200032, China.
• Runjun Yang
  Shanghai Institute of Medical Imaging, Shanghai, 200032, China.
• Yunzhe Xie
  Shanghai Institute of Medical Imaging, Shanghai, 200032, China.
• Junjie Yang
  School of Automation Science and Engineering, Xian Jiaotong University, Xi'an, Shaanxi, China.
• Xiaoguang Hou
  Shanghai Institute of Medical Imaging, Shanghai, 200032, China.
• Shuo Wang
  College of Tea & Food Science, Anhui Agricultural University, Hefei, China.
• Hongcheng Shi
  Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.

Keywords

External Resources