Advanced search
1 file | 1.88 MB Add to list

An analytical simulation method for X-ray fluorescence computed tomography

Bo Gao (UGent) , Brecht Laforce (UGent) , Jelle Dhaene (UGent) , Laszlo Vincze (UGent) , Luc Van Hoorebeke (UGent) and Matthieu Boone (UGent)
Author
Organization
Abstract
X-ray Fluorescence Computed Tomography (XFCT) is an emerging imaging technique that provides elemental distribution in objects non-invasively. To predict and optimize the experimental outcome of XFCT, data generated by Monte Carlo (MC) simulation is usually used. However, MC codes typically require extended computing times to generate sufficient data. In this paper, we report an XFCT simulation method based on analytical computation. By implementing it in GPU, the time required for the simulation of fluorescence sinograms has been sharply reduced. Through comparing the data generated by the technique presented here with data obtained through other approaches, its validity have been verified. It is expected that the simulation method proposed here could serve as a supporting tool for XFCT in aspects such as optimizing the scanning parameters for XFCT, confirming the feasibility of sample studied by XFCT and developing novel XFCT reconstruction algorithms.
Keywords
Radiation, X-ray fluorescence computed tomography (XFCT), Analytical simulation method, GPU-Accelerated computing, RECONSTRUCTION, XFCT

Downloads

  • (...).pdf
    • full text (Published version)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.88 MB

Citation

Please use this url to cite or link to this publication:

MLA
Gao, Bo, et al. “An Analytical Simulation Method for X-Ray Fluorescence Computed Tomography.” RADIATION PHYSICS AND CHEMISTRY, vol. 170, 2020.
APA
Gao, B., Laforce, B., Dhaene, J., Vincze, L., Van Hoorebeke, L., & Boone, M. (2020). An analytical simulation method for X-ray fluorescence computed tomography. RADIATION PHYSICS AND CHEMISTRY, 170.
Chicago author-date
Gao, Bo, Brecht Laforce, Jelle Dhaene, Laszlo Vincze, Luc Van Hoorebeke, and Matthieu Boone. 2020. “An Analytical Simulation Method for X-Ray Fluorescence Computed Tomography.” RADIATION PHYSICS AND CHEMISTRY 170.
Chicago author-date (all authors)
Gao, Bo, Brecht Laforce, Jelle Dhaene, Laszlo Vincze, Luc Van Hoorebeke, and Matthieu Boone. 2020. “An Analytical Simulation Method for X-Ray Fluorescence Computed Tomography.” RADIATION PHYSICS AND CHEMISTRY 170.
Vancouver
1.
Gao B, Laforce B, Dhaene J, Vincze L, Van Hoorebeke L, Boone M. An analytical simulation method for X-ray fluorescence computed tomography. RADIATION PHYSICS AND CHEMISTRY. 2020;170.
IEEE
[1]
B. Gao, B. Laforce, J. Dhaene, L. Vincze, L. Van Hoorebeke, and M. Boone, “An analytical simulation method for X-ray fluorescence computed tomography,” RADIATION PHYSICS AND CHEMISTRY, vol. 170, 2020.
@article{8643370,
  abstract     = {X-ray Fluorescence Computed Tomography (XFCT) is an emerging imaging technique that provides elemental distribution in objects non-invasively. To predict and optimize the experimental outcome of XFCT, data generated by Monte Carlo (MC) simulation is usually used. However, MC codes typically require extended computing times to generate sufficient data. In this paper, we report an XFCT simulation method based on analytical computation. By implementing it in GPU, the time required for the simulation of fluorescence sinograms has been sharply reduced. Through comparing the data generated by the technique presented here with data obtained through other approaches, its validity have been verified. It is expected that the simulation method proposed here could serve as a supporting tool for XFCT in aspects such as optimizing the scanning parameters for XFCT, confirming the feasibility of sample studied by XFCT and developing novel XFCT reconstruction algorithms.},
  articleno    = {108622},
  author       = {Gao, Bo and Laforce, Brecht and Dhaene, Jelle and Vincze, Laszlo and Van Hoorebeke, Luc and Boone, Matthieu},
  issn         = {0969-806X},
  journal      = {RADIATION PHYSICS AND CHEMISTRY},
  keywords     = {Radiation,X-ray fluorescence computed tomography (XFCT),Analytical simulation method,GPU-Accelerated computing,RECONSTRUCTION,XFCT},
  language     = {eng},
  pages        = {9},
  title        = {An analytical simulation method for X-ray fluorescence computed tomography},
  url          = {http://dx.doi.org/10.1016/j.radphyschem.2019.108622},
  volume       = {170},
  year         = {2020},
}

Altmetric
View in Altmetric
Web of Science
Times cited: