• Laser & Optoelectronics Progress
  • Vol. 60, Issue 6, 0610010 (2023)
Shuang Yang1, Shanghai Jiang1,*, Xinyu Hu1,**, Binbin Luo1..., Mingfu Zhao1, Bin Tang1, Zourong Long1, Shenghui Shi1, Xue Zou1 and Mi Zhou2|Show fewer author(s)
Author Affiliations
  • 1Chongqing Key Laboratory of Optical Fiber Sensor and Photoelectric Detection, Chongqing University of Technology, Chongqing 400054, China
  • 2College of Science, Chongqing University of Technology, Chongqing 400054, China
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    DOI: 10.3788/LOP213317 Cite this Article Set citation alerts
    Shuang Yang, Shanghai Jiang, Xinyu Hu, Binbin Luo, Mingfu Zhao, Bin Tang, Zourong Long, Shenghui Shi, Xue Zou, Mi Zhou. Reconstruction of Fan Beam X-Ray Fluorescence Computed Tomography Based on L1/2-Norm[J]. Laser & Optoelectronics Progress, 2023, 60(6): 0610010 Copy Citation Text show less
    Schematic diagram of fan beam XFCT system
    Fig. 1. Schematic diagram of fan beam XFCT system
    Reconstruction process of L1/2-EM algorithm
    Fig. 2. Reconstruction process of L1/2-EM algorithm
    XFCT imaging system. (a) Schematic diagram of XFCT imaging system; (b) phantom parameters
    Fig. 3. XFCT imaging system. (a) Schematic diagram of XFCT imaging system; (b) phantom parameters
    Phantom pixel parameters. (a) Attenuation coefficient distribution; (b) absorption coefficient distribution; (c) element concentration distribution
    Fig. 4. Phantom pixel parameters. (a) Attenuation coefficient distribution; (b) absorption coefficient distribution; (c) element concentration distribution
    Sinogram of projection
    Fig. 5. Sinogram of projection
    XFCT images reconstructed by two algorithms under different iterations number when number of projections is 30
    Fig. 6. XFCT images reconstructed by two algorithms under different iterations number when number of projections is 30
    XFCT images reconstructed by two algorithms under different projection numbers when number of iterations is 30
    Fig. 7. XFCT images reconstructed by two algorithms under different projection numbers when number of iterations is 30
    Evaluation parameters of two algorithms under different iteration times with a certain number of projections. (a) RMSE of XFCT image is reconstructed by two algorithms; (b) UQI of XFCT image is reconstructed by two algorithms
    Fig. 8. Evaluation parameters of two algorithms under different iteration times with a certain number of projections. (a) RMSE of XFCT image is reconstructed by two algorithms; (b) UQI of XFCT image is reconstructed by two algorithms
    Evaluation parameters of two algorithms under different projection numbers with a certain number of iterations. (a) RMSE of XFCT image is reconstructed by two algorithms; (b) UQI of XFCT image is reconstructed by two algorithms
    Fig. 9. Evaluation parameters of two algorithms under different projection numbers with a certain number of iterations. (a) RMSE of XFCT image is reconstructed by two algorithms; (b) UQI of XFCT image is reconstructed by two algorithms
    Condition8%6%4%2%AirPMMA
    μF(36.8 keV)0.52790.46880.40970.35060.27090.2496
    μI(67 keV)0.46150.39520.32880.26240.17810.1849
    Table 1. Mass attenuation coefficient of phantom
    Shuang Yang, Shanghai Jiang, Xinyu Hu, Binbin Luo, Mingfu Zhao, Bin Tang, Zourong Long, Shenghui Shi, Xue Zou, Mi Zhou. Reconstruction of Fan Beam X-Ray Fluorescence Computed Tomography Based on L1/2-Norm[J]. Laser & Optoelectronics Progress, 2023, 60(6): 0610010
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