Improving image quality with deep learning image reconstruction in double-low-dose head CT angiography compared with standard dose and adaptive statistical iterative reconstruction.

Abstract

Authors

• Xin Huang
  Department of ophthalmology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
• Wenzhe Zhao
  Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi province, China.
• Geliang Wang
  Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi province, China.
• Yiming Wang
  Teaching Resource Information Service Center, Changchun Institute of Education, Changchun, China.
• Jianying Li
  CT Research Center, GE Healthcare China, Beijing 100176, China.
• Yanshou Li
  Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi province, China.
• Qiang Zeng
  State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, China.
• Jianxin Guo
  Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi province, PR China.

Keywords

External Resources