Dosimetry Study of a VARIAN 600 C/D Linear Accelerator Head Model using MCNP5 Monte Carlo Code
DOI:
https://doi.org/10.15392/bjrs.v7i3.832Keywords:
MCNP, PDD, radiotherapyAbstract
In radiotherapy treatment planning, tools that improve the accuracy and quality of the radiation treatment for cancer are important for the decreased death of healthy tissue and the probability to produce cancer cells. The purpose is to establish the simulation principles in MCNP reproducing the x-ray generation from the electron beam to the resultant photon beam used for radiotherapy in a LINAC VARIAN 600 C/D, being the main goal to approximate the x-ray spectrum, the profile dose and the relative dose to experimental ones. This analysis shows the difficulties to simulate the linear accelerator and how they are represented in the profile dose and relative dose and the probable margin of error obtained compared to the real case. These difficulties are due to the lack of information from the suppliers to the academic public. Therefore, some parts of the model should be inferred, such as the electron beam source and its angle.
The results show the experimentally measured data comparison to the Monte Carlo results, where the measurements of PDD are inside the margin of error for buildup region and the flat region for the beam profile dose according to reference criteria. The developed model would help to optimize the simulation of patient dosimetry in radiotherapy treatment planning.
Downloads
References
Ministerio da Saúde, “Rio de Janeiro ganha novo Centro de Diagnóstico do Câncer de Próstata”, http://portalms.saude.gov.br/component/content/article/41997-rio-de-janeiro-ganha-novo-centro-de-diagnostico-do-cancer-de-prostata, 2017
Alex C. H. Oliveira, José W. Vieira, Marcelo G. Santana and Fernando R. A. Lima, “Monte Carlo Simulation of a Medical Linear Accelerator for Generation of Phase Spaces”, International Nuclear Atlantic Conference, Recife, Brazil, November 24-29, 2013.
Ali Nedaie Hassan et al., “Monte Carlo study of electron dose distributions produced by the elekta precise linear accelerator”, Reports of Practical Oncology and Radiotherapy, 11(6):287–292, 2006.
Karzmark C. J., Nunan C. S., and Tanabe E., “Medical Electron Accelerators”, McGraw-Hill, New York, 1993.
Mesbahi, A., “Developement a simple point source model for Elekta SL-25 linear accelerator using MCNP4C Monte Carlo code”, Iran Journal of Radiation Research, 4 (1):7-14, 2006.
Mesbahi, A., Michael Fix, Mahmoud Allahverdi, Ellen Grein and Hossein Garaati, “Monte Carlo calculation of Varian 2300C/D Linac photon beam characteristics: a comparison between MCNP4C, GEANT3 and measurements”, Applied Radiation and Isotopes, 62: 469–477, 2005.
Mohammad Taghi et al., “Monte Carlo simulation for Neptun 10 PC medical linear accelerator and calculations of output factor for electron beam”, Reports of Practical Oncology and Radiotherapy, 17(2): 115–118, 2012.
Podgorsak, E. B., Review of radiation oncology physics: a handbook for teachers and students, Education Report Series, International Atomic Energy Agency, Vienna, Austria, 2003.
Sempau, J. et al., “Monte Carlo simulation of electron beams from an accelerator head using PENELOPE”, Physics in Medicine and Biology, 46(4):1163–1186, 2001.
Sheikh-Bagheri, D. and Rogers, D. W. O., “Monte Carlo calculation of nine megavoltage photon beam spectra using the BEAM code”, Medical Physics, vol. 29, pp. 391-402, 2002.
Sousa, R.V., “Dose rate influence on deep dose deposition using a 6 MV x-ray beam from a linear accelerator”, Brazilian Journal of Physics, v. 39, No.2, 2009.
Varian Medical Systems, Inc. C-Series CLINAC Clinical User Guide. Delivery Systems. P/N 1102903-03 7/99. USA, 1999.
Venselaar, J., Welleweerd, H., Mijnheer, B., “Tolerances for the accuracy of photon beam dose calculations of treatment planning systems”, Radiotherapy Oncology, 60: 191-201, 2001.
Verhaegen, F. and Seuntjens, J., “Monte Carlo modeling of external radiotherapy photon beams”, Physics in Medicine and Biology, 48: R107-R164, 2003.
Downloads
Published
Issue
Section
License
Copyright (c) 2019 Brazilian Journal of Radiation Sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.
Licensing: The BJRS articles are licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
How to Cite
