Laser & Optoelectronics Progress, Volume. 60, Issue 6, 0610010(2023)
Reconstruction of Fan Beam X-Ray Fluorescence Computed Tomography Based on L1/2-Norm
Fig. 3. XFCT imaging system. (a) Schematic diagram of XFCT imaging system; (b) phantom parameters
Fig. 4. Phantom pixel parameters. (a) Attenuation coefficient distribution; (b) absorption coefficient distribution; (c) element concentration distribution
Fig. 6. XFCT images reconstructed by two algorithms under different iterations number when number of projections is 30
Fig. 7. XFCT images reconstructed by two algorithms under different projection numbers when number of iterations is 30
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
Fig. 9. Evaluation parameters of two algorithms under different projection numbers with a certain number of iteration
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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
Category: Image Processing
Received: Dec. 22, 2021
Accepted: Jan. 17, 2022
Published Online: Mar. 16, 2023
The Author Email: Jiang Shanghai (jiangshanghai@cqut.edu.cn), Hu Xinyu (hxy_dz@cqut.edu.cn)