Simulation for Polychromatic L-Shell X-ray Fluorescence Computed Tomography with Pinhole Collimator

Shanghai Jiang, Mianyi Chen, Peng Feng, Peng He, Luzhen Deng, Biao Wei

DOI:10.12059/Fully3D.2017-11-3203008

Published in:Fully3D 2017 Proceedings

Pages:348-351

Keywords:
L-shell XFCT, Monte Carlo simulation, pinhole collimator
As a novel imaging method, X-ray fluorescence computed tomography (XFCT) has attracted wide concern in recent years. In this paper, a polychromatic L-shell XFCT with pinhole collimator was proposed to save scanning time and improve detection limit of imaging system. First, imaging theoretical formulas were derived. Then, two phantoms (A and B) filled with polymethyl methacrylate (PMMA) were imaged by Monte Carlo simulation. The phantom A is embedded with six GNP (gold nanoparticles)-loaded cylinders with same radius (1.5mm) and height (10mm) but different Au weight concentration ranging from 0.2% to 1.2%. The phantom B is embedded with eight GNP-loaded cylinders with same Au weight concentration (1%) and height (10mm) but different radius ranging from 0.1mm to 0.8mm. At last, the reconstructed XFCT images were reconstructed by maximum likelihood expectation maximization (MLEM) with un-correction and correction, respectively. In this study, the feasibility of the proposed imaging system was demonstrated by Monte Carlo simulation. 
Shanghai Jiang
Key Laboratory of Optoelectronics Technology and System, Ministry of Education, Chongqing University, Chongqing, China
Mianyi Chen
Key Laboratory of Optoelectronics Technology and System, Ministry of Education, Chongqing University, Chongqing, China
Peng Feng
Key Laboratory of Optoelectronics Technology and System, Ministry of Education, Chongqing University, Chongqing, China
Peng He
Key Laboratory of Optoelectronics Technology and System, Ministry of Education, Chongqing University, Chongqing, China
Luzhen Deng
Department of Radiation Physics, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
Biao Wei
Key Laboratory of Optoelectronics Technology and System, Ministry of Education, Chongqing University, Chongqing, China
  1. B. Laforce, B. Vermeulen, J. Garrevoet, B. Vekemans, L. V. Hoorebeke, C. Janssen, and L. Vincze, “Laboratory Scale X-ray Fluorescence Tomography: Instrument Characterization and Application in Earth and Environmental Science,” Analytical Chemistry,  vol. 88, no. 6, pp. 3386-91, 2016.
  2. Q. Yang, B. Deng, G. Du, H. Xie, G. Zhou, T. Xiao, and H. Xu, “X-ray fluorescence computed tomography with absorption correction for biomedical samples,” X-Ray Spectrometry, vol. 43, no. 5, pp. 278-285, 2014.
  3. T. Sasaya, D. Aoki, T. Yuasa, K. Hyodo, N. Sunaguchi, and T. Zeniya, "EM-TV reconstruction algorithm for pinhole-type fluorescent X-ray computed tomography." 10th Asian Control Conference, 31 May, pp. 1-6. 2015.
  4. P. Feng, W. Cong, B. Wei, and G. Wang, “Analytic Comparison between X-ray Fluorescence CT and K-edge CT,” IEEE Transactions on Biomedical Engineering, vol. 61, no. 3, pp. 975-985, 2014.
  5. G. Poludniowski, G. Landry, F. DeBlois, P. M. Evans, and F. Verhaegen, “SpekCalc: a program to calculate photon spectra from tungsten anode x-ray tubes,” Physics in Medicine and Biology, vol. 54, no. 19, pp. N433-8,  2009.
  6. B. L. Jones, and S. H. Cho, “The feasibility of polychromatic cone-beam x-ray fluorescence computed tomography (XFCT) imaging of gold nanoparticle-loaded objects: a Monte Carlo study,” Physics in Medicine and Biology, vol. 56, no. 12, pp. 3719-30,  2011.
  7. M. Bazalova-Carter, M. Ahmad, T. Matsuura, S. Takao, Y. Matsuo, R. Fahrig, H. Shirato, K. Umegaki, and L. Xing, “Proton-induced x-ray fluorescence CT imaging,” Medical Physics, vol. 42, no. 2, pp. 900-7, 2015.