A Monte Carlo model of an agility head for a 10-MV photon beam

References

• Andreo P. Monte Carlo techniques in medical radiation physics. Phys Med Biol. 1991;36(7):861–920. https://doi.org/10.1088/0031-9155/36/7/001.
   PubMed Web of Science ®Google Scholar
• Seco J, Verhaegen F. Monte Carlo techniques in radiation therapy. Boca Raton: CRC Press; 2013.
   Google Scholar
• Chibani O, Ma C-MC. On the discrepancies between Monte Carlo dose calculations and measurements for the 18MV varian photon beam. Med Phys. 2007;34(4):1206–1216. https://doi.org/10.1118/1.2712414.
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Almberg SS, Frengen J, Kylling A, et al. Monte Carlo linear accelerator simulation of megavoltage photon beams: independent determination of initial beam parameters. Med Phys. 2011;39(1):40–47. https://doi.org/10.1118/1.3668315.
   Web of Science ®Google Scholar
• Gholampourkashi S, Cygler JE, Belec J, et al. Monte Carlo and analytic modeling of an Elekta infinity linac with agility MLC: investigating the significance of accurate model parameters for small radiation fields. J Appl Clinical Med Phys. 2018;20(1):55–67https://doi.org/10.1002/acm2.12485.
   PubMed Web of Science ®Google Scholar
• Lewis RD, Ryde SJS, Hancock DA, et al. An MCNP-based model of a linear accelerator x-ray beam. Phys Med Biol. 1999;44(5):1219–1230. https://doi.org/10.1088/0031-9155/44/5/010.
   PubMed Web of Science ®Google Scholar
• Efendi M, Chittrakarn T, Bhongsuwan T. Monte Carlo simulation of 6 MV flattening filter free photon beam of true beam STx LINAC at songklanagarind hospital. Sains Malaysiana. 2017;46(9):1407–1411. https://doi.org/10.17576/jsm-2017-4609-08.
   Web of Science ®Google Scholar
• Onizuka R, Araki F, Ohno T. Monte Carlo dose verification of VMAT treatment plans using Elekta agility 160-leaf MLC. Phys Med. 2018;51:22–31. https://doi.org/10.1016/j.ejmp.2018.06.003.
   PubMed Web of Science ®Google Scholar
• Brualla L, Rodriguez M, Sempau J, et al. PENELOPE/PRIMO-calculated photon and electron spectra from clinical accelerators. Radiat Oncol. 2019;14(1):6. https://doi.org/10.1186/s13014-018-1186-8.
   PubMedGoogle Scholar
• Yani S, Budiansah I, Rhani MF, et al. Monte Carlo model and output factors of elekta infinityTM 6 and 10 MV photon beam. Rep Practical Oncol Radiother. 2020;25(4):470–478. https://doi.org/10.1016/j.rpor.2020.03.021.
   PubMedGoogle Scholar
• Almatani T. Validation of a 10 MV photon beam Elekta Synergy linear accelerator using the BEAMnrc MC code. J King Saud University – Sci. 2021;33(4):101406. https://doi.org/10.1016/j.jksus.2021.101406.
   Google Scholar
• Tacke MB, Nill S, Häring P, et al. 6 MV dosimetric characterization of the 160 MLCTM, the new siemens multileaf collimator. Med Phys. 2008;35(5):1634–1642. https://doi.org/10.1118/1.2889782.
   PubMed Web of Science ®Google Scholar
• Borges C, Zarza-Moreno M, Heath E, et al. Monte Carlo modeling and simulations of the high definition (HD120) micro MLC and validation against measurements for a 6 MV beam. Med Phys. 2011;39(1):415–423. https://doi.org/10.1118/1.3671935.
   Web of Science ®Google Scholar
• Kielar KN, Mok E, Hsu A, et al. Verification of dosimetric accuracy on the truebeam STx: rounded leaf effect of the high definition MLC. Med Phys. 2012;39(10):6360–6371. https://doi.org/10.1118/1.4752444.
   PubMed Web of Science ®Google Scholar
• Bedford JL, Thomas MDR, Smyth G. Beam modeling and VMAT performance with the agility 160-leaf multileaf collimator. J Appl Clinical Med Phys. 2013;14(2):172–185. https://doi.org/10.1120/jacmp.v14i2.4136.
   Web of Science ®Google Scholar
• Ohira S, Takegawa H, Miyazaki M, et al. Monte Carlo modeling of the agility MLC for IMRT and VMAT calculations. In Vivo (Brooklyn). 2020;34(5):2371–2380. https://doi.org/10.21873/invivo.12050.
   Web of Science ®Google Scholar
• Kantz S, Söhn M, Troeller A, et al. Impact of MLC properties and IMRT technique in meningioma and head-and-neck treatments. Radiat Oncol. 2015;10(1):184. https://doi.org/10.1186/s13014-015-0447-z.
   PubMedGoogle Scholar
• Rønde HS, Mortensen B. EP-1498: beam matching of linacs with elekta agility and MLCi2 heads – energy, profiles, and output factors. Radiother Oncol. 2014;111:S160. https://doi.org/10.1016/s0167-8140(15)31616-9.
   Web of Science ®Google Scholar
• Rogers DWO, Walters B, Kawrakow I. BEAMnrc users manual. NRC Rep. PIRS 509. 2009.
   Google Scholar
• Walters B, Kawrakow I, Rogers D. DOSXYZnrc users manual. NRC Rep. PIRS. 794. 2005.
   Google Scholar
• Almatani T. Optimisation of variance reduction techniques in EGSnrc Monte Carlo for a 6 MV photon beam of an Elekta synergy linear accelerator. J King Saud University – Sci. 2021;33(4):101421. https://doi.org/10.1016/j.jksus.2021.101421.
   Web of Science ®Google Scholar
• Low DA, Harms WB, Mutic S, et al. A technique for the quantitative evaluation of dose distributions. Med Phys. 1998;25(5):656–661. https://doi.org/10.1118/1.598248.
   PubMed Web of Science ®Google Scholar
• Chetty IJ, Curran B, Cygler JE, 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):4818–4853. https://doi.org/10.1118/1.2795842.
   PubMed Web of Science ®Google Scholar