Validation of Monte carlo Geant4 multithreading code for a 6 MV photon beam of varian linac on the grid computing

Assalmi, Mustapha; Diaf, El Yamani; Mansour, N.

doi:10.1016/j.rpor.2020.09.011

Cited by 10 publications

(2 citation statements)

References 19 publications

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“…The analysis of the results was based on the gamma index determined for the acceptance criteria 3%/3 mm and 2%/2 mm [20]. The determination of the electron beam parameters was based on the mean point-to-point dose error [21,22] expressed by equation (1). This parameter detects small differences between the simulated and measured dose, since the ò parameter is very sensitive and can detect an accuracy of 0.01%.…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

Effect of the Gaussian distribution parameters of the electron beam generated at the target on the simulated x-ray dose

Assalmi¹,

Diaf²

2023

Biomed. Phys. Eng. Express

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The purpose of this work was to investigate by Monte Carlo method the adjustment of photon beams delivered by the medical LINear ACcelerator (LINAC) Elekta Synergy MLCi2. This study presents an optimization of the Gaussian distribution parameters of the accelerated electrons before the target simulated by two Monte Carlo codes and for three beams. The photon (X-ray) beam is produced by the interaction of accelerated electrons with the LINAC target. The electrons are accelerated by a potential difference created between the anode and the cathode of the gun and directed towards the target. In the Monte Carlo simulation, it is necessary to setup the spectrum parameters of the generated electrons to simulate the X-ray dose distribution. In this study, we modeled the LINAC geometry for photon beams 18MV and 6MV in cases Flattened (FF) and Flattening-Filter-Free (FFF). The Monte Carlo simulations are based on G4Linac_MT and GATE codes. The results of the optimized configurations determined after more than 20 tests for each beam energy show a very good agreement with the experimental measurements for different irradiation fields for the depth (PDD) and lateral (Profile) dose distribution. In all Monte Carlo calculations performed in this study, the statistical uncertainty is less than 2%. The results were also in very good agreement in terms of γ-index analysis, for the 3%/3mm and 2%/2mm criteria.

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Section: Monte Carlo Simulationmentioning

confidence: 99%

Effect of the Gaussian distribution parameters of the electron beam generated at the target on the simulated x-ray dose

Assalmi¹,

Diaf²

2023

Biomed. Phys. Eng. Express

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“…This method can produce highly accurate and reliable results but requires a long simulation time. Some MC codes used in radiotherapy such as EGSnrc/BEAMnrc-DOSXYZnrc [1,2], MCNP [3], Geant4 [4,5], Fluka [6], and PENELOPE [7,8] have been conducted to characterize linac output spectra and dose distributions inhomogeneity and inhomogeneity phantom. The simulation outputs acquired by several investigators using the same code differ from each other due to the distinction in the system platforms and cross-section data provided by MC packages.…”

Section: Introduction mentioning

confidence: 99%

Investigation of Electron Contamination on Flattened and Unflattened Varian Clinac iX 6X and 15X Photon Beam Based on Monte Carlo Simulation

et al. 2022

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The aim of this study was to characterize electron contamination of a flattened (FF) and an unflattened (FFF) Varian Clinac iX 6X and 15X photon beams using Monte Carlo (MC) simulation. EGSnrc MC technique was used to model the flattened and unflattened head and simulate dose distribution of 6X and 15X of FF and FFF photon beam in water phantom. The materials and geometrical data of FF linac were provided by Tan Tock Seng Hospital (TTSH) Singapore. The FFF linac was modeled by removing the flattening filter component in the FF linac. Phase space files were scored after flattening filter and in the phantom surface. The phsp files were analyzed to characterize the particles produced by the linac head using BEAMDP. The contaminants contribute around 1 % and 2 % in the phsp1 for flattened and unflattened beams, respectively. The photons are scattered in smallangle in the range of 0 -4 o . The contaminant electron contributes up to one hundredth compared to the photons. The increase of field area affects the increase in contaminants and penumbra width due to the increasing number of particle scattered out of the field area. The unflattened beam affects the increase in the number of electron contamination and surface dose. The penumbra width of the flattened beams was smaller than the unflattened beams for the same field size and energy.

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Dose divergence between monte carlo simulation and experimental measurements in the build-up region for a photon beam

Assalmi

Diaf

2021

Radiation Physics and Chemistry

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Validation of Monte carlo Geant4 multithreading code for a 6 MV photon beam of varian linac on the grid computing

Cited by 10 publications

References 19 publications

Effect of the Gaussian distribution parameters of the electron beam generated at the target on the simulated x-ray dose

Effect of the Gaussian distribution parameters of the electron beam generated at the target on the simulated x-ray dose

Investigation of Electron Contamination on Flattened and Unflattened Varian Clinac iX 6X and 15X Photon Beam Based on Monte Carlo Simulation

Dose divergence between monte carlo simulation and experimental measurements in the build-up region for a photon beam

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Validation of Monte carlo Geant4 multithreading code for a 6 MV photon beam of varian linac on the grid computing

Cited by 10 publications

References 19 publications

Effect of the Gaussian distribution parameters of the electron beam generated at the target on the simulated x-ray dose

Effect of the Gaussian distribution parameters of the electron beam generated at the target on the simulated x-ray dose

Investigation of Electron Contamination on Flattened and Unflattened Varian Clinac iX 6X and 15X Photon Beam Based on Monte Carlo Simulation

Dose divergence between monte carlo simulation and experimental measurements in the build-up region for a photon beam

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Validation of Monte carlo Geant4 multithreading code for a 6 MV photon beam of varian linac on the grid computing