Paper
8 February 2024 Simulation and reconstruction for three-dimensional x-ray fluorescence computed tomography
Xiangpeng Li, Shanghai Jiang, Mengying Sun, Xin Huang, Binbin Luo, Mingfu Zhao
Author Affiliations +
Proceedings Volume 13066, International Conference on Optoelectronic Materials and Devices (ICOMD 2023); 1306616 (2024) https://doi.org/10.1117/12.3025204
Event: 2023 International Conference on Optoelectronic Materials and Devices (COMD 2023), 2023, Chongqing, China
Abstract
X-ray fluorescence computed tomography (XFCT), as a non-invasive imaging technique, has attracted much attention for its simulation and reconstruction. In this study, we built a simulation model of cone-beam X-ray fluorescence CT using Geant4 and simulated the propagation and interaction process of X-rays in the phantom by Monte Carlo simulation. Then, we acquired the projection data and used the FDK (Feldkamp-Davis-Kress) resolution algorithm to reconstruct the images in three dimensions. The results show that cone-beam X-ray fluorescence CT combined with the FDK algorithm can effectively reconstruct the images, which provides strong support for non-invasive imaging and trace element distribution analysis.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiangpeng Li, Shanghai Jiang, Mengying Sun, Xin Huang, Binbin Luo, and Mingfu Zhao "Simulation and reconstruction for three-dimensional x-ray fluorescence computed tomography", Proc. SPIE 13066, International Conference on Optoelectronic Materials and Devices (ICOMD 2023), 1306616 (8 February 2024); https://doi.org/10.1117/12.3025204
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KEYWORDS
Reconstruction algorithms

Image restoration

X-ray fluorescence spectroscopy

Tunable filters

X-ray computed tomography

Detection and tracking algorithms

X-rays

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