Feasibility evaluation of PET scan-time reduction for diagnosing amyloid-β levels in Alzheimer's disease patients using a deep-learning-based denoising algorithm.

Abstract

Authors

• Zhao Peng
  Department of Engineering and Applied Physics, School of Physics, University of Science and Technology of China, Hefei, Anhui, China.
• Ming Ni
  Department of Orthopaedics, Chinese People's Liberation Army General Hospital (301 Hospital), 28 Fuxing Rd, 100853, Beijing, China.
• Hongming Shan
• Yu Lu
  Faw-volkswagen Automative Co., Changchun, China.
• Yongzhe Li
  School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, 230026, China.
• Yifan Zhang
  Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang University, Hangzhou, Zhejiang 310058, China.
• Xi Pei
  Department of Engineering and Applied Physics, School of Physics, University of Science and Technology of China, Hefei, Anhui, China.
• Zhi Chen
  Duke University.
• Qiang Xie
  Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230001, China.
• Shicun Wang
  Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230001, China; Institute of Nuclear Medical Physics, University of Science and Technology of China, Hefei, 230026, China.
• X George Xu
  Department of Engineering and Applied Physics, School of Physics, University of Science and Technology of China, Hefei, Anhui, China.

Keywords

External Resources