Laser & Optoelectronics Progress, Volume. 61, Issue 18, 1811001(2024)

Deep-Learning-Based Self-Absorption Correction for Fan Beam X-Ray Fluorescence Computed Tomography

Mengying Sun1, Shanghai Jiang1、*, Xiangpeng Li1, Xin Huang1, Bin Tang1, Xinyu Hu1、**, Binbin Luo1, Shenghui Shi1, Mingfu Zhao1, and Mi Zhou2
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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    References(24)

    [19] Agostinelli S, Allison J, Amako K et al. Geant4: a simulation toolkit[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 506, 250-303(2003).

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    Mengying Sun, Shanghai Jiang, Xiangpeng Li, Xin Huang, Bin Tang, Xinyu Hu, Binbin Luo, Shenghui Shi, Mingfu Zhao, Mi Zhou. Deep-Learning-Based Self-Absorption Correction for Fan Beam X-Ray Fluorescence Computed Tomography[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1811001

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    Paper Information

    Category: Imaging Systems

    Received: Dec. 29, 2023

    Accepted: Jan. 22, 2024

    Published Online: Sep. 14, 2024

    The Author Email: Shanghai Jiang (jiangshanghai@cqut.edu.cn), Xinyu Hu (hxy_dz@cqut.edu.cn)

    DOI:10.3788/LOP232787

    CSTR:32186.14.LOP232787

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