Application of deep learning reconstruction combined with time-resolved post-processing method to improve image quality in CTA derived from low-dose cerebral CT perfusion data.

Abstract

Authors

• Jiajing Tong
  Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
• Tong Su
  Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
• Yu Chen
  State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
• Xiaobo Zhang
  School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo 255049, P. R. China. liyueyun@sdut.edu.cn.
• Ming Yao
  Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
• Yanling Wang
  Department of Neurology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
• Haozhe Liu
  Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
• Min Xu
  Department of Gastroenterology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
• Jian Wang
  Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
• Zhengyu Jin
  Departments of Radiology, Peking Union Medical College Hospital, Beijing.

Keywords

External Resources