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Radiopharmaceutical imaging based on 3D-CZT Compton camera with 3D-printed mouse phantom

  • Feng Tian
    Affiliations
    Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, People’s Republic of China
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  • Changran Geng
    Correspondence
    Corresponding author.
    Affiliations
    Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, People’s Republic of China
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  • Zhiyang Yao
    Affiliations
    Department of Engineering Physics, Tsinghua University, Beijing 100084, People’s Republic of China
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  • Renyao Wu
    Affiliations
    Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, People’s Republic of China
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  • Jianfeng Xu
    Affiliations
    Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, People’s Republic of China

    JYAMS PET Research and Development Limited, Nanjing 211100, People’s Republic of China
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  • Fei Cai
    Affiliations
    Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, People’s Republic of China

    JYAMS PET Research and Development Limited, Nanjing 211100, People’s Republic of China
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  • Xiaobin Tang
    Affiliations
    Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, People’s Republic of China
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Published:March 11, 2022DOI:https://doi.org/10.1016/j.ejmp.2022.03.005

      Highlights

      • A methodology for radiopharmaceutical imaging based on 3D-CZT camera is proposed.
      • The event selection method and image reconstruction algorithm are optimized.
      • Performance of radiopharmaceutical imaging with 3D-CZT are preliminarily studied.

      Abstract

      Purpose

      The study proposes the use of three-dimensional CdZnTe Compton camera (3D-CZT CC) for radiopharmaceutical imaging and investigates the influence factors using a 3D-printed mouse phantom.

      Methods

      The event selection method and image reconstruction algorithm are optimized by Monte Carlo simulations and mouse phantom experiments.

      Results

      Simulation results show that the intrinsic energy resolution and spatial resolution of 3D-CZT cause a certain deviation in the calculated Compton scattering angle and Compton axis. Such deviation causes the imaging quality to deteriorate. By selecting events whose distance between Compton and photoelectronic interactions are larger than 10 mm, the mean deviation of the Compton axis could be reduced to less than 10%. Using the ordered origin ensemble algorithm with resolution recovery, the artifacts around organs where the radiopharmaceutical was placed are reduced, and the quality of the reconstruction results are improved compared to the results with simple back projection and origin ensembles algorithms. The phantom study shows that the 3D-CZT CC imaging device could visualize the radiopharmaceuticals distribution by 15 min detection.

      Conclusions

      Through the analysis of this study, the feasibility of 3D-CZT CC for in-vivo distribution measurement of radiopharmaceuticals is demonstrated, and the quality of reconstruction result has been improved.

      Keywords

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