Simulation of the dose calculation and distribution in radiation Therapy Treatment Planning System

Machichi, M.; Oulhouq, Yassine; Rrhioua, Abdeslem; Zerfaoui, Mustapha; Bakari, D.

doi:10.1016/j.matpr.2019.04.063

Cited by 1 publication

(3 citation statements)

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“…Both codes are developments from EGSnrc and can run on Linux/Unix platforms or Windows system. EGSnrc is user code for simulating radiation sources and modelling radiation transport (electron and photon) [1][2][3][4]. The simulation dose profiles when compared to the measured data, using the gamma index method, were in good agreement with a correction factor of 3 %.…”

Section: Introduction mentioning

confidence: 96%

“…Optimization of the therapeutic gain of radiation, i.e., maximizing the dose to tumours, while at the same time minimizing dose to healthy tissues, depends critically on the accuracy of the dose calculation [1]. Although the physics of radiation transport is very well known, analytical methods for dose calculations are associated with large errors, especially in patient's tissues where the effect of electron transport cannot be handled accurately.…”

Section: Introduction mentioning

confidence: 99%

“…E-mail address: tipung25@gmail.com DOI: https://doi.org/10.17146/aij.2021.1046 the accurate dose. The method that takes into account these physical phenomena is very time consuming; meanwhile, in radiotherapy, time is a very strict factor because the treatment must be simulated and applied as quickly as possible [1,4].…”

Section: Introduction mentioning

confidence: 99%

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Monte Carlo Simulation-Based BEAMnrc Code of a 6 MV Photon Beam Produced by a Linear Accelerator (LINAC)

Sapundani

Ekawati²,

Wibowo

2021

Atom Indo.

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In radiotherapy, high energy ionizing radiation, such as X-rays, gamma rays and electron beams, is used. The dose in the tissue is often approached with the dose in the medium of the body which is 80 % of human soft tissue. It is often difficult to determine the dose because the interaction of materials in a medium is very random. Measurement is also quite difficult because there are almost no detectors that are tissue equivalent. Measurement using an ion chamber requires a lot of correction to obtain a dose in the tissue, which is done using phantom and not directly in humans. This research aimed to compare the absorbed dose between modelling using Monte Carlo simulation and experiments. The simulation of dose distribution produced by a 6 MV medical linear accelerator has been performed using BEAMnrc code running on Linux-based 2 processor system arranged in parallel. BEAMnrc was used to model and simulate the linac head with an SSD of 100 cm and Field size of 10x10 cm 2 . A phase-space file is obtained as input to a DOSXYnrc code to produce Percent Depth Dose (PDD) in water and polymethyl methacrylate (PMMA) phantoms. New particles formed (electrons: 0.2 %, photon: 0.17 %; and positron: 0.08 %) were far from the contamination threshold of 2 %. The range of the correction factor of the depth of a maximum dose compared to the experimental data was 0.04-0.15.

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Section: Introduction mentioning

confidence: 96%

Section: Introduction mentioning

confidence: 99%