Optimization Techniques and Parameters Setting of the GAMOS Code in the Monte Carlo Simulation of a Medical Accelerator

Assalmi, Mustapha; Diaf, El Yamani

doi:10.3103/s0027134922030031

Cited by 1 publication

(2 citation statements)

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“…In general, Monte Carlo calculations are very time consuming, so initial configurations are necessary to reduce the calculation time without affecting the accuracy of the simulations results. The variance reduction technique is necessary to improve the performance of the calculation [16][17][18], as well as the correct choice of the CUT and StepMax parameters that concern the production and step of the secondary particles [19]. The description of the simulation parameters of the G4Linac_MT and GATE codes are shown in table 1 according to the AAPM TG-268 report [6].…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

“…The accuracy increases in the attenuation region due to electron balance. For the dose profiles (the lateral dose distributions), the dose discrepancy between Monte Carlo simulations and experimental measurements in the penumbra region can be justified by the fact that this region is characterized by a low photon flux due to the field cutoff by the collimator jaws [17,19]. This justifies the rapid decay of the dose in this region.…”

Section: Experimental Dose Validation Of G4linac_mt and Gate Codes In...mentioning

confidence: 99%

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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%

Section: Experimental Dose Validation Of G4linac_mt and Gate Codes In...mentioning

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

Self Cite

View full text Add to dashboard Cite

show abstract

Optimization Techniques and Parameters Setting of the GAMOS Code in the Monte Carlo Simulation of a Medical Accelerator

Cited by 1 publication

References 20 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

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