Deep learning-based combination of [18F]-FDG PET and CT images for producing pulmonary perfusion image.

Journal: Medical physics
PMID: 37387645

Abstract

BACKGROUND: The main application of [18F] FDG-PET ( FDG-PET) and CT images in oncology is tumor identification and quantification. Combining PET and CT images to mine pulmonary perfusion information for functional lung avoidance radiation therapy (FLART) is desirable but remains challenging.

Authors

  • Jiabing Gu
    School of Medicine and Life Sciences, University of Jinan Shandong Academy of Medical Sciences, Jinan, Shandong, China.
  • Qingtao Qiu
    Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China.
  • Jian Zhu
  • Qiang Cao
    Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Zhen Hou
    Institute of Medical Information & Library, Chinese Academy of Medical Sciences, Beijing, China.
  • Baosheng Li
    Department of Radiation Oncology, Shandong Cancer Hospital, Shandong University, Jinan, 250117, China.
  • Huazhong Shu
    Lab of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China. shu.list@seu.edu.cn.

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