scholarly journals Scatter radiation dose profile evaluation in computed tomography using Monte Carlo simulation

2021 ◽  
Vol 19 (4) ◽  
pp. 813-818
Author(s):  
Gh.R. Fallah Mohammadi ◽  
L. Hesamnezhad ◽  
M. Mahdavi ◽  
◽  
◽  
...  
Keyword(s):  
Computed Tomography ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Radiation Dose ◽  
Scatter Radiation ◽  
Dose Profile

scholarly journals Evaluation of radiation dose to organs during kilovoltage cone‐beam computed tomography using Monte Carlo simulation

2014 ◽  
Vol 15 (2) ◽  
pp. 295-302 ◽  
Author(s):  
Kihong Son ◽  
Seungryong Cho ◽  
Jin Sung Kim ◽  
Youngyih Han ◽  
Sang Gyu Ju ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Radiation Dose ◽  
Cone Beam Computed Tomography ◽  
Cone Beam

scholarly journals Radiation doses in cone-beam breast computed tomography: A Monte Carlo simulation study

2011 ◽  
Vol 38 (2) ◽  
pp. 589-597 ◽  
Author(s):  
Ying Yi ◽  
Chao-Jen Lai ◽  
Tao Han ◽  
Yuncheng Zhong ◽  
Youtao Shen ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Simulation Study ◽  
Cone Beam ◽  
Radiation Doses ◽  
Monte Carlo Simulation Study ◽  
Breast Computed Tomography

Monte Carlo Simulation of the Computed Tomography Dose Index (CTDI) Using GATE

2020 ◽  
Vol 17 (6) ◽  
pp. 900-907
Author(s):  
M. Mkimel ◽  
R. El Baydaoui ◽  
M. R. Mesradi ◽  
Z. Tahiri ◽  
K. Talasmat ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Computed Tomography Dose Index ◽  
Dose Index

scholarly journals Monte Carlo Simulation for Polychromatic X-Ray Fluorescence Computed Tomography with Sheet-Beam Geometry

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Shanghai Jiang ◽  
Peng He ◽  
Luzhen Deng ◽  
Mianyi Chen ◽  
Biao Wei
Keyword(s):  
Computed Tomography ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Expectation Maximization ◽  
Huge Amount ◽  
X Ray ◽  
Beam Geometry ◽  
Weight Concentration ◽  
Imaging Model ◽  
Maximum Likelihood Expectation Maximization

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.

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