Technical note: Rapid and high-resolution deep learning-based radiopharmaceutical imaging with 3D-CZT Compton camera and sparse projection data.

Journal: Medical physics
PMID: 35946492

Abstract

BACKGROUND: The Compton camera (CC) has great potential in nuclear medicine imaging due to the high detection efficiency and the ability to simultaneously detect multi-energy radioactive sources. However, the finite resolution of the detectors will degrade the images that the real-world CC can obtain. Besides, the CC sometimes can be limited by the detection efficiency, leading to difficulty in using sparse projection data to realize high-resolution reconstruction with short-time measurement, which limits its clinical application for real-time or rapid radiopharmaceutical imaging.

Authors

  • Zhiyang Yao
    Department of Engineering Physics, Tsinghua University, Beijing, China.
  • Changrong Shi
    State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics and Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China.
  • Feng Tian
    Bioinformatics Graduate Program, and Department of Biomedical Engineering, Boston. University, 24 Cummington Mall, Boston, MA 02215, USA.
  • Yongshun Xiao
    Department of Engineering Physics, Tsinghua University, Beijing, China.
  • Changran Geng
    Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
  • Xiaobin Tang

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