NUCLEAR TECHNIQUES, Volume. 48, Issue 4, 040402(2025)

Effect of datasets on imaging quality of coded aperture γ camera based on convolutional neural network algorithm

Wenrui XU1,2, Yushou SONG1、*, Chunzhi ZHOU2、**, Yingwei HOU1, and Huilan LIU1
Author Affiliations
  • 1College of Nuclear Science and Technology, Harbin Engineering University, Harbin 150001, China
  • 2State Key Laboratory of Nuclear Biochemistry Protection for Civilian, Beijing 102205, China
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    Figures & Tables(12)
    Diagram of coded aperture imaging process
    (a) 11-dimensional extended coded aperture mask (the central part is the base coded aperture mask), (b) Schematic diagram of the point-source model imaging
    Schematic diagram of dataset construction process (color online)
    Schematic diagram of the CNN training model architecture (color online)
    CNR of different energy sources forming projections on the detector (color online)
    Relationship between CNR and capacity of datasets for orphan point-source
    Variations of reconstructed CNR of the model with different datasets varies with the imaging time
    Reconstruction results of diverse datasets models at different times when the source is at the center of the FOV (color online)
    Relationship between CNR and capacity of datasets for multi-point source
    Reconstruct results of different number of sources (circle is the actual location of sources, color online)
    Reconstruction results of different energy sources exist simultaneously (color online)
    • Table 1. Average CNR reconstructed from different data sets for different energy orphan source

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      Table 1. Average CNR reconstructed from different data sets for different energy orphan source

      数据集设置

      Datasets

      对不同放射源重建的CNR

      CNR reconstructed from different

      radioactive sources

      57Co

      (0.122 MeV)

      137Cs

      (0.663

      MeV)

      132I

      (0.773/0.995 MeV)

      60Co

      (1.17/1.33 MeV)

      57Co75.835.631.024.7
      137Cs43.860.250.644.3
      132I44.958.559.650.9
      60Co36.956.955.655.7
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    Wenrui XU, Yushou SONG, Chunzhi ZHOU, Yingwei HOU, Huilan LIU. Effect of datasets on imaging quality of coded aperture γ camera based on convolutional neural network algorithm[J]. NUCLEAR TECHNIQUES, 2025, 48(4): 040402

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    Paper Information

    Category: NUCLEAR ELECTRONICS AND INSTRUMENTATION

    Received: Sep. 10, 2024

    Accepted: --

    Published Online: Jun. 3, 2025

    The Author Email: Yushou SONG (宋玉收), Chunzhi ZHOU (周春芝)

    DOI:10.11889/j.0253-3219.2025.hjs.48.240370

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