Monte Carlo Simulation for Polychromatic X-Ray Fluorescence Computed Tomography with Sheet-Beam Geometry
Joint Authors
He, Peng
Jiang, Shanghai
Wei, Biao
Chen, Mianyi
Deng, Lu-zhen
Source
International Journal of Biomedical Imaging
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
X-ray fluorescence computed tomography (XFCT) based on sheet beam can save a huge amount of time to obtain a whole set of projections using synchrotron.
However, it is clearly unpractical for most biomedical research laboratories.
In this paper, polychromatic X-ray fluorescence computed tomography with sheet-beam geometry is tested by Monte Carlo simulation.
First, two phantoms (A and B) filled with PMMA are used to simulate imaging process through GEANT 4.
Phantom A contains several GNP-loaded regions with the same size (10 mm) in height and diameter but different Au weight concentration ranging from 0.3% to 1.8%.
Phantom B contains twelve GNP-loaded regions with the same Au weight concentration (1.6%) but different diameter ranging from 1 mm to 9 mm.
Second, discretized presentation of imaging model is established to reconstruct more accurate XFCT images.
Third, XFCT images of phantoms A and B are reconstructed by filter back-projection (FBP) and maximum likelihood expectation maximization (MLEM) with and without correction, respectively.
Contrast-to-noise ratio (CNR) is calculated to evaluate all the reconstructed images.
Our results show that it is feasible for sheet-beam XFCT system based on polychromatic X-ray source and the discretized imaging model can be used to reconstruct more accurate images.
American Psychological Association (APA)
Jiang, Shanghai& He, Peng& Deng, Lu-zhen& Chen, Mianyi& Wei, Biao. 2017. Monte Carlo Simulation for Polychromatic X-Ray Fluorescence Computed Tomography with Sheet-Beam Geometry. International Journal of Biomedical Imaging،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1159694
Modern Language Association (MLA)
Jiang, Shanghai…[et al.]. Monte Carlo Simulation for Polychromatic X-Ray Fluorescence Computed Tomography with Sheet-Beam Geometry. International Journal of Biomedical Imaging No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1159694
American Medical Association (AMA)
Jiang, Shanghai& He, Peng& Deng, Lu-zhen& Chen, Mianyi& Wei, Biao. Monte Carlo Simulation for Polychromatic X-Ray Fluorescence Computed Tomography with Sheet-Beam Geometry. International Journal of Biomedical Imaging. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1159694
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1159694