Fast SPECT/CT planar bone imaging enabled by deep learning enhancement.

Journal: Medical physics
PMID: 38652084

Abstract

BACKGROUND: The application of deep learning methods in rapid bone scintigraphy is increasingly promising for minimizing the duration of SPECT examinations. Recent works showed several deep learning models based on simulated data for the synthesis of high-count bone scintigraphy images from low-count counterparts. Few studies have been conducted and validated on real clinical pairs due to the misalignment inherent in multiple scan procedures.

Authors

  • Zhenglin Pan
    RadioDynamic Healthcare, Shanghai, China.
  • Na Qi
    College of Life Science, Capital Normal University, Beijing, 100048, China.
  • Qingyuan Meng
    Department of Nuclear Medicine, Shanghai East Hospital, Tongji University School of Medicine, 200120, Shanghai, People's Republic of China.
  • Boyang Pan
    RadioDynamic Healthcare, Shanghai, People's Republic of China.
  • Tao Feng
    School of Pharmacy, Anhui University of Chinese Medicine, Anhui Key Laboratory of Modern Chinese Materia Medica Hefei 230012 People's Republic of China tfeng@mail.scuec.edu.cn wanggk@ahtcm.edu.cn.
  • Jun Zhao
  • Nan-Jie Gong
    Vector Lab for Intelligent Medical Imaging and Neural Engineering, International Innovation Center of Tsinghua University, Shanghai, China.

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