Dose Profiles Distribution of 6 MV Linear Accelerator Using Monte Carlo Code System for Optimum Treatment planning in Radiotherapy Department

Authors

  • M. I. A. Koshlaf Libyan Medical Research Center Author
  • K. L. Adullatif Department of Biomedical Engineering Libyan Academy Author

DOI:

https://doi.org/10.54361/ljmr.17-13

Keywords:

SPECT, attenuation, scattering, correction, gamma camera, radiopharmaceutical, photopeak energy, Monte Carlo Computer Code

Abstract

Monte Carlo (MC) radiotherapy treatment planning has become practical in medical physics, particularly with the rapid development of computer technology. Requires detailed knowledge of linear medical accelerators (Linacs) beam radiation. In the present work the basic dosimetric properties of the 6-MV photon beam and the Varian Clinic 600CLinac were examined. The dosimetric features of interest are, the absorbed dose from the central axis, beam profiles, photon blockers, electron and positron, mean energy, spectral distribution, and isodose curves. Varian Clinic 600C Linac is simulated using the OMEGA BEAMnrc MC code system. Detailed spectra of phase space profiles of a photon beam with a field of view of 10 cm × 10 cm were modeled, simulated and finally analyzed using BEAMdp. The central axis depth dose curves, dose profiles and isodose curves for photon beams in the aqueous phantom were also recorded and analyzed using the DOSXYZnrc, STATDOSE and DOSXYZ_SHOW code. This study demonstrates that MC can generate phase space data files that can be used to generate accurate MC dose distributions for photon beams produced using a high-powered clinical linear accelerator in a water phantom or in patients for radiotherapy.

References

Rogers, D. W., W. B., et al. (2007). "BEAMnrc User's Manual." Report PIRS 0509.

Rogers, D. W., B. A. Faddegon, et al. (1995). "BEAM: a Monte Carlo code to simulate radiotherapy treatment units." Med Phys 22 (5): 503-24.

Rogers, D. W., B. Walters, et al. (2004). "DOSXYZnrc User's Manual." Report PIRS 794.

Rogers, D. W. O. and A. F. Bielajew (1990). "Monte Carlo Technique of Electron and Photon Transport for Radiation Dosimetry." The Dosimetry of Ionizing Radiation - Academic Press 3 : 427-539.

Johns, H. E. and J. R. Cunningham (1983). "The Physics of Radiology." (4th edition).

van Dyk, J. (1999). "The Modern Technology of Radiation Oncology – A Compendium for Medical Physicists and Radiation Oncologists." Medical Physics Publishing.

Khan, F. M. (2003). "The Physics of Radiation Therapy." Lippincott Williams & Wilkins(3 edition ).

Luis Alberto Vazquez- Quino et al “Monte Carlo modeling of a Novalis TX Varian 6 MV with HD-120 multileaf collimator” J Applied Clinical Med Phys, 13(5), 2012

Yang J, Li J, Chen L, Price R, McNeeley S, Qin L, et al. Dosimetric verification of IMRT treatment planning using Monte Carlo simulations for prostate cancer. Phys Med Biol 2005;50(5):869–78.

othman I E et al Hot Particle Dosimetry, Part-III: Enhanced EGSnrcMP Dose Estimates over EGS4 for a 106 Ru/Rh Hot Particle, Compared to Measurements using Imaging Photon Detector, RadioChromic Dye Film and Extrapolation Chamber, The Second Symposium on Theories and Applications of Basic and Biosciences 5 September 2015

Othman, I. E., Charles, M. W. and Darley, P. J. "Beta dose measurements and calculations around 170Tm model hot particle using the Monte Carlo code EGS4 and Thermoluminescence Imaging Photon Detector" Intern. Conf. on Advanc. Monte Carlo for Radiat. Phys., Part. Trans. Simulat. and Apps., Lisbon, Portugal 23-26 Oct. (2000).

Darley, P. J., Othman, I. E. and Al-Aydarous, A. Sh., "Dosimetry intercomparisons for 106Ru Hot Particles"University of Birmingham, Radiation Dosimetry Group, PR HPD/00/01 (2000).

Darley, P. J., Othman, I. E. and Al-Aydarous, A. Sh.," Hot Particle Radiation Dosimetry: Development and validation of measurement and calculation techniques" University of Birmingham, Radiation Dosimetry Group, FR HPD/00 (2000).

Adamiec, G. and Othman, I. E. "Evaluation of dose distributions around hot particles by means of TL measurements" The University of Oxford, Research Laboratory for Archaeology and the History of Art, REP; GR-766-310-A (1999).

Darley, P. J., Charles, M. W., Othman, I. E., Al-Aydarous, A. Sh., and Mill, A. J., "Origins and dosimetry of 'hot particles' from nuclear plant operation" Radiat. Prot. Dosim. 92 (1-3) 131-137 (2000).

Darley, P. J., Villarreal Barajas, J. E. and Othman, I. E. " Hot Particle Radiation Dosimetry: Development and validation of measurement and calculation techniques for hot particles" University of Birmingham, Radiation Dosimetry Group, AR HPD/99 (1999).

Yamamoto T, Mizowaki T, Miyabe Y, Takegawa H, Narita Y, Yano S, et al. An integrated Monte Carlo dosimetric verification system for radiotherapy treatment planning. Phys Med Biol 2007;52(7):1991–2008.

Rogers DWO, Faddegon BA, Ding GX, Ma C-M, We J, Mackie TR. BEAM: A Monte Carlo code to simulate radiotherapy treatment units. Med Phys 1995;22(5):503–24.

Kawrakow I, Walters BRB. Efficient photon beam dose calculations using DOSXYZnrc with BEAMnrc. Med Phys 2006;33(8):3046–56.

Joao Seco and Frank Verhaegen, Monte Carlo Techniques in Radiation Therapy, Editors ISBN: 978-1-4665-0792-0

Chetty 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. 34(12), December 2007.

Downloads

Published

30-06-2023

Issue

Section

Articles

How to Cite

1.
Koshlaf MIA, Adullatif KL. Dose Profiles Distribution of 6 MV Linear Accelerator Using Monte Carlo Code System for Optimum Treatment planning in Radiotherapy Department. LJMR [Internet]. 2023 Jun. 30 [cited 2024 Sep. 18];17(1):120-32. Available from: http://ljmr.ly/index.php/ljmr/article/view/26