Generation of synthetic PET images of synaptic density and amyloid from F-FDG images using deep learning.

Journal: Medical physics
Published Date: Sep 1, 2021

Abstract

PURPOSE: Positron emission tomography (PET) imaging with various tracers is increasingly used in Alzheimer's disease (AD) studies. However, access to PET scans using new or less-available tracers with sophisticated synthesis and short half-life isotopes may be very limited. Therefore, it is of great significance and interest in AD research to assess the feasibility of generating synthetic PET images of less-available tracers from the PET image of another common tracer, in particular F-FDG.

Authors

  • Rui Wang
    Department of Clinical Laboratory Medicine Center, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
  • Hui Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Takuya Toyonaga
    Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
  • Luyao Shi
  • Jing Wu
    School of Pharmaceutical Science, Jiangnan University, Wuxi, 214122, Jiangsu, China.
  • John Aaron Onofrey
    Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
  • Yu-Jung Tsai
    Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
  • Mika Naganawa
    Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
  • Tianyu Ma
  • Yaqiang Liu
  • Ming-Kai Chen
    Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
  • Adam P Mecca
    Department of Psychiatry, Yale University, New Haven, CT, USA.
  • Ryan S O'Dell
    Department of Psychiatry, Yale University, New Haven, CT, USA.
  • Christopher H van Dyck
    Department of Psychiatry, Yale University, New Haven, CT, USA.
  • Richard E Carson
    Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
  • Chi Liu

Keywords

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