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Sensitivity Analysis of a 6 Mev Photon Beam Monte Carlo Model Publisher



Shami N1 ; Atarod M2 ; Shokrani P1 ; Najafizade N3
Authors
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Authors Affiliations
  1. 1. Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. School of Allied Medical Sciences, Shahrekord University of Medical Sciences, Shahrekord, Iran
  3. 3. Department of Radiooncology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Journal of Medical Signals and Sensors Published:2023


Abstract

Background: This study aimed to optimize efficiency in Monte Carlo (MC) simulation using sensitivity analysis of a beam model. Methods: The BEAMnrc-based model of 6 MV beam of a Siemens Primus linac was developed. For sensitivity analysis, the effect of the electron source, treatment head, and virtual phantom specifications on calculated percent depth dose (PDD) and lateral dose profiles was evaluated. Results: The optimum mean energy (E) and the full width at half maximum (FWHM) of the intensity distribution of the electron beam were calculated as 6.7 MeV and 3 mm, respectively. Increasing E from 6.1 to 6.7 MeV, increased the PDD in the fall-off region by 4.70% and decreased the lateral profile by 8.76%. Changing the FWHM had a significant effect on the buildup region of PDD and the horns and out-of-field regions of the lateral profile. Increasing the collimators opening by 0.5 mm, PDD increased by 2.13% and the central and penumbra regions of profiles decreased by 1.98% and 11.40% respectively. Collimator properties such as thickness and density were effective in changing the penumbra (11.32% for 0.25 cm increment) and the out-of-field (22.82% for 3 g/cm 3) regions of the lateral profiles. Conclusion: Analysis of a 6 MV model showed that PDD profiles were more sensitive to changes in energy than to FWHM of the electron source. The lateral profiles were sensitive to E, FWHM, and collimator opening. The density of the collimator affected only the out-of-field region of lateral profiles. The findings of this study may be used to make benchmarking of an MC beam model more efficient. © 2023 Isfahan University of Medical Sciences(IUMS). All rights reserved.
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