Monte Carlo Simulation of Linear Accelerator for Dosimetry Analysis
| Autor: | Jayaraj P B, Darshana Suresh, Saai Lakshmi D R, Shalini Nath, Pournami P N, Niyas Puzhakkal, Seenia Francis |
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| Rok vydání: | 2021 |
| Předmět: |
business.industry
Computer science Monte Carlo method Dose profile Radiation Linear particle accelerator 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Software 030220 oncology & carcinogenesis Dosimetry Tomography business Energy (signal processing) Simulation |
| Zdroj: | 2021 6th International Conference for Convergence in Technology (I2CT). |
| DOI: | 10.1109/i2ct51068.2021.9418059 |
| Popis: | Radiation therapy is a means to treat cancer that makes use of beams of intense energy to kill cells that are cancerous in nature. The equipment most often used for the procedure is the Linear Accelerator(LINAC). This machine produces beams of X-rays and transports them to the patient's cancerous region. The dose of radiation to be deposited on the patient body needs to be evaluated before application. This paper aims at simulating the radiotherapy process using a LINAC in order to carry out the dosimetric analysis. The simulation makes use of the Monte Carlo method, which has been proven to provide realistic results in terms of accuracy. The proposed work of simulation was carried out using GATE (Geant4 Application for Tomographic Emission) software based on a 6MV Elekta Synergy Platform LINAC. Depth dose and dose profile curves were plotted for dosimetric analysis and uncertainty error values were compared with a similar work on the same field. It was observed that the values are in the same range, proving the credibility for the proposed simulation. This work is in collaboration with MVR Cancer centre at Calicut and is done for helping in the dosimetric analysis of their specific LINACs in future. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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