Deep Learning-Based Computed Tomography Perfusion Mapping (DL-CTPM) for Pulmonary CT-to-Perfusion Translation.

Journal: International journal of radiation oncology, biology, physics
PMID: 33689853

Abstract

PURPOSE: Our purpose was to develop a deep learning-based computed tomography (CT) perfusion mapping (DL-CTPM) method that synthesizes lung perfusion images from CT images.

Authors

  • Ge Ren
    Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
  • Jiang Zhang
    College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, 610065, China.
  • Tian Li
    College of Plant Protection, Southwest University, Chongqing, China.
  • Haonan Xiao
    Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
  • Lai Yin Cheung
    Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong; Department of Nuclear Medicine, Queen Mary Hospital, Hong Kong.
  • Wai Yin Ho
    Department of Nuclear Medicine, Queen Mary Hospital, Hong Kong.
  • Jing Qin
    School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.
  • Jing Cai
    Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.

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