Laser & Optoelectronics Progress, Volume. 60, Issue 6, 0610010(2023)
Reconstruction of Fan Beam X-Ray Fluorescence Computed Tomography Based on L1/2-Norm
As a molecular imaging mode, X-ray fluorescence computed tomography (XFCT) has the problems of long scanning times and large radiation doses. In general, the scanning time and radiation dose of XFCT are reduced by increasing the projection interval and reducing the number of projections. Therefore, to improve the quality of reconstructed images with few projections and iterations, an XFCT reconstruction algorithm based on the L1/2-norm is proposed. The numerical simulation results show that compared with the traditional Maximum Likelihood Expectation Maximization algorithm, the proposed XFCT reconstruction algorithm has a smaller root mean square error and a global image quality index closer to 1 with fewer projections and iterations, achieving the goal of improving the quality of reconstructed images with few projections and iterations.
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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)