Acta Optica Sinica, Volume. 41, Issue 20, 2011002(2021)

Geometric Correction of Fan-Beam X-Ray Fluorescence CT Based on Local Linear Relationship

Shanghai Jiang1、*, Zhizhen Ma1, Binbin Luo1、**, Mingfu Zhao1, Bin Tang1, Shenghui Shi1, Decao Wu1, Xue Zou1, Zourong Long1, 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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    X-ray fluorescence computed tomography (CT) based on an X-ray tubes is affected by many factors, which thus results in poor image quality. Geometric parameter error is one of the important factors that restrict its high-quality image reconstruction. In this paper, the influence of the relative position deviation between the two-dimensional planar phantom and the detector on the projection data is analyzed, and the correction of geometric deviation parameters is realized with the local linear relationship between the original projection data and the reprojection data of the original reconstructed image. Geant4 is employed to simulate the fan-beam X-ray fluorescence CT system with deviation parameters, and simulated projection data are used to verify the correction method. The results show that the method can accurately calculate the geometric offset to a large extent and effectively eliminate the influence of geometric parameter error on the reconstructed image. Regarding the reconstructed image after correction, the information entropy is reduced and the average gradient and standard deviation are enhanced, with the image quality thus improved.

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    Shanghai Jiang, Zhizhen Ma, Binbin Luo, Mingfu Zhao, Bin Tang, Shenghui Shi, Decao Wu, Xue Zou, Zourong Long, Mi Zhou. Geometric Correction of Fan-Beam X-Ray Fluorescence CT Based on Local Linear Relationship[J]. Acta Optica Sinica, 2021, 41(20): 2011002

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    Paper Information

    Category: Imaging Systems

    Received: Apr. 8, 2021

    Accepted: May. 6, 2021

    Published Online: Sep. 30, 2021

    The Author Email: Jiang Shanghai (jiangshanghai@cqut.edu.cn), Luo Binbin (luobinbin@cqut.edu.cn)

    DOI:10.3788/AOS202141.2011002

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