Gate/Geant4-based Monte Carlo simulation for calculation of dose distribution of 400 MeV/u carbon ion beam and fragments in water

被引:0
作者
Hai-Feng Ou
Bin Zhang
Shu-Jun Zhao
机构
[1] Zhengzhou University,Physical Science and Technology College
[2] Henan University of Technology,College of Science
来源
Nuclear Science and Techniques | 2016年 / 27卷
关键词
Gate; Carbon ion beam; Fragments; Dose distribution; Monte Carlo simulation;
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摘要
The applications of carbon ion beam in tumor therapy have attracted more attention in recent years. Monte Carlo simulation is an important approach to obtain accurate radiotherapy parameters. In this work, a 400 MeV/u carbon ion beam incident on water phantom was simulated with Gate/Geant4 tools. In methods, the authors set up a carbon ion beam source according to the experiment parameters of Haettner, defined the geometries and materials, set up the physics processes, and designed the means of information collection. In results, the authors obtained the longitudinal dose distribution, the lateral dose distribution, and the relative uncertainty of dose. The dose contributions of all kinds of fragments were calculated detailedly and compared with the Francis results. This work is helpful for people’s understanding of the dose distributions produced by carbon ion beam and fragments in water. The simulation method is also significative for radiotherapy treatment planning of carbon ion beam, and it is easy to extend. For obtaining a special result, we may change the particle energy, particle type, target material, target geometry, physics process, detector, etc.
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  • [1] Bache ST(2015)Investigating the accuracy of microstereotactic-body-radiotherapy utilizing anatomically accurate 3D printed rodent-morphic dosimeters Med. Phys. 42 846-855
  • [2] Juang T(2015)A multiphase direct aperture optimization for inverse planning in radiotherapy Nucl. Sci. Tech. 26 010502-450
  • [3] Belley MD(2012)A mechanism-based approach to predict the relative biological effectiveness of protons and carbon ions in radiation therapy Int. J. Radiat. Oncol. Biol. Phys. 83 442-303
  • [4] Wang J(2003)GEANT4—a simulation toolkit Nucl. Instrum. Methods Phys. Res., Sect. A 506 250-208
  • [5] Pei X(2010)Influence of Geant4 parameters on dose distribution and computation time for carbon ion therapy simulation Phys. Med. 26 202-5847
  • [6] Cao RF(2015)GEANT4 simulation of the characteristic gamma-ray spectrum of TNT under soil induced by DT neutrons Nucl. Sci. Tech. 26 010501-6112
  • [7] Frese MC(2010)Benchmarking nuclear models of FLUKA and GEANT4 for carbon ion therapy Phys. Med. Biol. 55 5833-7652
  • [8] Yu VK(2006)Distributions of positron-emitting nuclei in proton and carbon-ion therapy studied with GEANT4 Phys. Med. Biol. 51 6099-1098
  • [9] Stewart RD(2014)Nuclear reaction measurements on tissue-equivalent materials and GEANT4 Monte Carlo simulations for hadrontherapy Phys. Med. Biol. 59 7643-1521
  • [10] Agostinelli S(2008)Comparative study of depth-dose distributions for beams of light and heavy nuclei in tissue-like media Nucl. Instrum. Methods Phys. Res. B 266 1094-14