Image quality improvement in head and neck angiography based on dual-energy CT and deep learning.

Abstract

Authors

• He Zhang
  College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi, PR China; Key Laboratory of Plant Nutrition and the Agri-environment in Northwest China, Ministry of Agriculture and Rural Affairs, Yangling, 712100, Shaanxi, PR China.
• Lulu Zhang
  Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, People's Republic of China.
• Juan Long
  Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, P.R. China.
• Xiaonan Sun
  Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: sunxiaonan@zju.edu.cn.
• Shuai Zhang
  School of Information, Zhejiang University of Finance and Economics, Hangzhou, China.
• Aiyun Sun
  CT Imaging Research Center, GE HealthCare China, Shanghai, China.
• Shenman Qiu
  Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, P.R. China.
• Yankai Meng
  Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China; Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, People's Republic of China.
• Tao Ding
  Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore.
• Chunfeng Hu
  Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
• Kai Xu
  Department of Anesthesiology, Huai'an Hospital Affiliated to Yangzhou University (The Fifth People's Hospital of Huai'an), Huaian, China.

Keywords

External Resources