DOI QR코드

DOI QR Code

Geant4 Code Based Simulation of 6 MV Photon Beam for Analysis of Dose Distribution

Geant4 코드를 이용한 선형가속기 6 MV 광자선의 선량분포에 관한 연구

  • Lee, Jun-Seong (Department of Radiation Oncology, Jeonbuk National University Hospital) ;
  • Kim, Yang-Soo (Department of Radiation Oncology, Jeonbuk National University Hospital) ;
  • Lee, Sun-Young (Department of Radiation Oncology, Institute for Medical Sciences, Jeonbuk National University Medical School)
  • 이준성 (전북대학교병원 방사선종양학과) ;
  • 김양수 (전북대학교병원 방사선종양학과) ;
  • 이선영 (전북대학교 의과대학 방사선종양학과)
  • Received : 2022.08.23
  • Accepted : 2022.09.29
  • Published : 2022.10.31

Abstract

This study is to present a Geant4 code for the simulation of the absorbed dose distribution given by a medical linac for 6 MV photon beam. The dose distribution was verified by comparison with calculated beam data and beam data measured in water phantom. They were performed for percentage depth dose(PDD) and beam profile of cross-plane for two field sizes of 10 × 10 and 15 × 15 cm2. Deviations of a percentage and distance were obtained. In energy spectrum, the mean energy was 1.69 MeV. Results were in agreement with PDD and beam profile of the phantom with a tolerance limit. The differences in the central beam axis data 𝜹1 for PDD had been less than 2% and in the build up region, these differences increased up to 4.40% for 10 cm square field. The maximum differences of 𝜹2 for beam profile were calculated with a result of 4.35% and 5.32% for 10 cm, 15 cm square fields, respectively. It can be observed that the difference was below 4% in 𝜹3 and 𝜹4. For two field sizes of 𝜹50-90 and RW50, the results agreed to within 2 mm. The results of the t-test showed that no statistically significant differences were found between the data for PDD of 𝜹1, p>0.05. A significant difference on PDD was observed for field sizes of 10 × 10 cm2, p=0.041. No significant differences were found in the beam profile of 𝜹3, 𝜹4, RW50, and 𝜹50-90. Significant differences on beam profile of 𝜹2 were observed for field sizes of 10 × 10 cm2, p=0.025 and for 15 × 15 cm2, p=0.037. This work described the development and reproducibility of Geant4 code for verification of dose distribution.

Keywords

References

  1. Ahnesjo A, Aspradakis MM. Dose calculations for external photon beams in radiotherap. Phys. Med. Biol. 1999;44(11):R99-155. https://doi.org/10.1088/0031-9155/44/11/201
  2. Verhaegen F, Seuntjens J. Monte Carlo modelling of external radiotherapy photon beams. Phys. Med. Biol. 2003;48(21):R107-64. https://doi.org/10.1088/0031-9155/48/21/R01
  3. Chauvie S, Scielzo G. Radiotherapy treatment planning with Monte Carlo on a distributed system. IEEE. 2004;1765-9.
  4. Gonias P, Zaverdinos P, Alkhorayef M, Sulieman A, Kappas C, Theodorou K. Monte Carlo Simulation of 6MV Varian Clinac Photon Beam Using GEANT4-GATE. J At Nucl Phys. 2020;2(1):30-8.
  5. An JS, Lee CL, Baek CH. Monte Carlo Simulation of a Varian 21EX Clinac 6 MV Photon Beam Characteristics Using GATE6. Journal of Radiological Science and Technology. 2016;39(4):571-5. https://doi.org/10.17946/JRST.2016.39.4.12
  6. Agostinelli S, Allison J, Amako K, Apostolakis J, Araujo H, Arce P, et al. Geant4-a simulation toolkit. Nuclear Instruments and Methods in Physics Research A. 2003;506(3):250-303. https://doi.org/10.1016/S0168-9002(03)01368-8
  7. Sheikh-Bagheri D, Rogers DWO. Monte Carlo calculation of nine megavoltage photon beam spectra using the BEAM code. Med. Phys. 2002;29(3):391-402. https://doi.org/10.1118/1.1445413
  8. Ivanchenko V, Apostolakis J, Bagulya A, Abdelouahed HB, Black R, Bogdanov A, et al. Recent Improvements in Geant4 Electromagnetic Physics Models and Interfaces. Progress in Nuclear Science and Technology. 2011;2:898-903. https://doi.org/10.15669/pnst.2.898
  9. Pandola L, Andenna C, Caccia B. Validation of the GEANT4 simulation of bremsstrahlung from thick targets below 3 MeV. Nuclear Instruments and Methods in Physics Research B. 2015;41-8.
  10. Kang SK, Ahn SH, Kim CY. A Study on Photon Dose Calculation in 6 MV Linear Accelerator Based on Monte Carlo Method. Journal of Radiological Science and Technology. 2011;34(1):43-50.
  11. International Atomic Energy Agency. Absorbed Dose Determination in External Beam Radiotherapy: An International Code of Practice for Dosimetry Based on Standards of Absorbed Dose to Water. Technical Reports Series No. 398; 2000.
  12. International Atomic Energy Agency. Commissioning and quality assurance of computerized planning systems for radiation treatment of cancer. Technical Reports Series No.430; 2004.
  13. Venselaar J, Welleweerd H, Mijnheer B. Tolerances for the accuracy of photon beam dose calculations of treatment planning systems. Radiotherapy and Oncology 60. 2001;191-201. https://doi.org/10.1016/S0167-8140(01)00377-2
  14. Mesbahi A, Fix M, Allahverdi M, Grein E, Garaati H. Monte Carlo calculation of Varian 2300C/D Linac photon beam characteristics: A comparison between MCNP4C, GEANT3 and measurements. Applied Radiation and Isotopes 62. 2005;469-77. https://doi.org/10.1016/j.apradiso.2004.07.008
  15. Baumgartner A, Steurer A, Maringer FJ. Simulation of photon energy spectra from Varian 2100C and 2300C/D Linacs: Simplified estimates with PENELOPE Monte Carlo models. Applied Radiation and Isotopes 67. 2009;2007-12. https://doi.org/10.1016/j.apradiso.2009.07.010
  16. Chetty IJ, Curran B, Cygler JE, DeMarco JJ, Ezzell G, Faddegon BA, et al. Report of the AAPM Task Group No. 105: Issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning. Med. Phys. 2007;34(12):4818-36. https://doi.org/10.1118/1.2795842
  17. Keall PJ, Siebers JV, Arnfield M, Kim JO, Mohan R. Monte Carlo dose calculations for dynamic IMRT treatments. Phys. Med. Biol. 2001;46.
  18. Ding GX. Using Monte Carlo simulations to commission photon beam output factors-A feasibility study. Physics in Medicine & Biology. 2003;48(23): 3865-74. https://doi.org/10.1088/0031-9155/48/23/005
  19. Mesbahi A, Reilly AJ, Thwaites DI. Development and commissioning of a Monte Carlo photon beam model for Varian Clinac 2100EX linear accelerator. Applied Radiation and Isotopes. 2006;64(6):656-62. https://doi.org/10.1016/j.apradiso.2005.12.012
  20. Fix MK, Keller H, RRegsegger P, Born EJ. Simple beam models for Monte Carlo photon beam dose calculations in radiotherapy. Med Phys. 2000; 27(12):2739-47. https://doi.org/10.1118/1.1318220
  21. Sardari D, Maleki R, Samavat H, Esmaeeli A. Measurement of depth-dose of linear accelerator and simulation by use of Geant4 computer code. Reports of Practical Oncology and Radiotherapy. 2010;64-8.
  22. Ding GX. Dose discrepancies between Monte Carlo calculations and measurements in the buildup region for a high-energy photon beam. Med. Phys. 2002;29(11):2459-63. https://doi.org/10.1118/1.1514237
  23. Andreo P. Monte Carlo techniques in medical radiation physics. Physics in Medicine & Biology. 1991;36(7):861-920. https://doi.org/10.1088/0031-9155/36/7/001
  24. Bakkali JEL, Bardouni TEL. Validation of Monte Carlo Geant4 code for a 6 MV Varian linac. Journal of King Saud University-Science. 2017;29:106-13. https://doi.org/10.1016/j.jksus.2016.03.003
  25. JimRnez Spang F. Monte Carlo Study of the Dosimetry of Small-Photon Beams Using CMOS Active Pixel Sensors [dissertation]. University College London; 2011.
  26. Tzedakis A, Damilakis JE, Mazonakis M, Stratakis J, Varveris H, Gourtsoyiannis N. Influence of initial electron beam parameters on Monte Carlo calculated absorbed dose distributions for radiotherapy photon beams. Med. Phys. 2004;31(4): 907-13. https://doi.org/10.1118/1.1668551
  27. Cho SH, Vassiliev ON, Lee SS, Liu HH, Ibbott GS, Mohan R. Reference photon dosimetry data and reference phase space data for the 6 MV photon beam from Varian Clinac 2100 series linear accelerators. Med. Phys. 2005;32(1):137-48. https://doi.org/10.1118/1.1829172