CPU time optimization and precise adjustment of the Geant4 physics parameters for a VARIAN 2100 C/D gamma radiotherapy linear accelerator simulation using GAMOS

被引:6
作者
Arce, Pedro [1 ]
Ignacio Lagares, Juan [1 ]
机构
[1] CIEMAT, Technol Dept, Sci Instrumentat Div, Med Applicat Unit, Madrid, Spain
关键词
Monte Carlo simulation; gamma radiotherapy; GEANT4; variance reduction techniques; electromagnetic physics models; GAMOS; MONTE-CARLO-SIMULATION; DOSE CALCULATION; ELECTRON-BEAMS; PHOTON-BEAM; DOSIMETRIC VERIFICATION; BREMSSTRAHLUNG; DISTRIBUTIONS; SYSTEM; ENERGY; LINAC;
D O I
10.1088/1361-6560/aaa2b0
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
We have verified the GAMOS/Geant4 simulation model of a 6 MV VARIAN Clinac 2100 C/D linear accelerator by the procedure of adjusting the initial beam parameters to fit the percentage depth dose and cross-profile dose experimental data at different depths in a water phantom. Thanks to the use of a wide range of field sizes, from 2 x 2 cm(2) to 40 x 40 cm(2), a small phantom voxel size and high statistics, fine precision in the determination of the beam parameters has been achieved. This precision has allowed us to make a thorough study of the different physics models and parameters that Geant4 offers. The three Geant4 electromagnetic physics sets of models, i.e. Standard, Livermore and Penelope, have been compared to the experiment, testing the four different models of angular bremsstrahlung distributions as well as the three available multiple-scattering models, and optimizing the most relevant Geant4 electromagnetic physics parameters. Before the fitting, a comprehensive CPU time optimization has been done, using several of the Geant4 efficiency improvement techniques plus a few more developed in GAMOS.
引用
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页数:23
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