基于Geant4-DNA工具包的单能电子微剂量学模拟研究

Abstract

Abstract: The influence of different physical process factors on low-energy electrons in liquid water was analyzed and evaluated using the latest Geant4-DNA package, providing theoretical support for establishing a basic database of microdosimetry concerned with radiotherapy and radiation protection. In the latest version of the package, there are 7 physical models to simulate the transport of electrons in liquid water. According to the characteristics of different models, 5 suitable ones were selected to simulate the transport process of monoenergetic electrons (0.1-20 keV). The specific information of track structure recorded by each model was compared, including the total number of interaction processes, the number of ionization and excitation, and the proportion of corresponding deposition energy. Factors, such as the model option, the particle radius at sampling sites and the interaction process, were analyzed with respect to their impacts on the mean lineal energy. It shows that the simulation results between Option0 and Option2, and also, between Option4 and Option5 are basically consistent. Due to the different interaction cross sections of each model, there is difference for the track information and the mean linear energy. The influence of the model on the mean linear energy decreases with the increase of particle radius at sampling sites. The effort would be helpful and instructive for users to select the appropriate model to simulate low energy monoenergetic electrons according to their needs, and provide a powerful basis for further establishing a monoenergetic electronic database to evaluate the biological effects of ionizing radiation in microscopic scale.

Key words: Microdosimetry, Low energy electron, Monoenergetic electron, MC method, Geant4-DNA

CLC Number:

R144.1

Wang Yidi, Zhang Shuyuan, Li Zhanpeng, Tang Wei, Li Xiang, Sun Liang. Monoenergetic Electron Microdosimetry Simulation Based on Geant4-DNA Package[J].RADIATION PROTECTION BULLETIN, 2019, 39(4): 5-12.

References

[1] Liamsuwan T, Emfietzoglou D, Uehara S, et al. Microdosimetry of low-energy electrons[J]. International Journal of Radiation Biology, 2012,88(12):899-907.
[2] Rosenzweig W, Rossi H H. Determination of the quality of the absorbed dose delivered by monenergistic neutrons[J]. Radiation Research, 1959,10(5):532-544.
[3] Pimblott S M, Laverne J A. Production of low-energy electrons by ionizing radiation[J]. Radiation Physics & Chemistry, 2007,76(8):1244-1247.
[4] Nikjoo H, Goodhead D T. Track structure analysis illustrating the prominent role of low-energy electrons in radiobiological iffects of low-LET radiations[J]. Physics in Medicine & Biology, 1991,36(2):229-238.
[5] Bernal M A, Bordage M C, Brown J M C, et al. Track structure modeling in liquid water: A review of the Geant4－DNA very low energy extension of the Geant4 Monte Carlo simulation toolkit[J]. Physica Medica, 2015,31(8):861-874.
[6] Schulte R W, Wroe A J, Bashkirov V A, et al. Nanodosimetry-based quality factors for radiation protection in space[J]. Zeitschrift Fur Medizinische Physik, 2008,18(4):286-296.
[7] Nikjoo H, Uehara S, Emfietzoglou D, et al. Track-structure codes in radiation research[J]. Radiation Measurements, 2006,41(9-10):1052-1074.
[8] Goodhead D T. Energy deposition stochastics and track structure: What about the target?[J]. Radiation Protection Dosimetry, 2005,122(1-4):3-15.
[9] Nikjoo H, Uehara S, Emfietzoglou D, et al. A database of frequency distributions of energy depositions in small-size targets by electrons and ions[J]. Radiation Protection Dosimetry, 2011,143(2-4):145-151.
[10] Lindborg L, Nikjoo H. Microdosimetry and radiation quality determinations in radiation protection and radiation therapy[J]. Radiation Protection Dosimetry, 2011,143(2-4):402-408.
[11] Kyriakou I, Emfietzoglou D, Ivanchenko V, et al. Microdosimetry of electrons in liquid water using the low-energy models of Geant4[J]. Journal of Applied Physics, 2017,122(2):24303.
[12] Incerti S, Kyriakou I, Bernal M A, et al. Geant4-DNA example applications for track structure simulations in liquid water: A report from the Geant4-DNA project[J]. Medical Physics, 2018,45(8):E722-E739.
[13] Lindborg L, Hultqvist M, Carlsson T, et al. Lineal energy and radiation quality in radiation therapy: Model calculations and comparison with experiment[J]. Physics in Medicine & Biology, 2013,58(10):3089-3105.
[14] Villagrasa C, Francis Z, Incerti S. Physical models implemented in the Geant4-DNA extension of the Geant-4 toolkit for calculating initial radiation damage at the molecular level[J]. Radiation Protection Dosimetry, 2011,143(2-4):214-218.
[15] Incerti S, Ivanchenko A M, Mantero A, et al. Comparison of Geant4 very low energy cross section models with experimental data in water[J]. Medical Physics, 2010,37(9):4692-4708.
[16] Lillh K J E, J-E G, Lindborg L, et al. Nanodosimetry in a clinical neutron therapy beam using the variance-covariance method and Monte Carlo simulations[J]. Physics In Medicine & Biology, 2007,52(16):4953-4966.
[17] Nikjoo H, Uehara S. Comparison of various Monte Carlo track structure codes for energetic electrons in gaseous and liquid water[J]. Basic Life Sciences, 1994,63:167.
[18] Uehara S, Nikjoo H, Goodhead D T. Cross-sections for water vapour for the Monte Carlo electron track structure code from 10 eV to the MeV region[J]. Physics in Medicine & Biology, 1993,38(12):1841.
[19] Francis Z, Incerti S, Ivanchenko V, et al. Monte Carlo simulation of energy-deposit clustering for ions of the same LET in liquid water[J]. Physics in Medicine & Biology, 2012,57(1):209-224.
[20] http://geant4-data.web.cern.ch/geant4-data/releasenotes/releasenotes4.10.4.html[EB/OL].
[21] Francis Z, Incerti S, Capra R, et al. Molecular scale track structure simulations in liquid water using the Geant4-DNA Monte-Carlo processes[J]. Applied Radiation & Isotopes, 2011,69(1):220-226.
[22] Apostolakis J, Asai M, Bagulya A, et al. Progress in Geant4 electromagnetic physics modelling and validation[J]. Journal of Physics: Conference Series, 2015,664(7):072021.
[23] Ivanchenko V N, Kadri O, Maire M, et al. Geant4 models for simulation of multiple scattering[J]. Journal of Physics: Conference Series, 2010,219(3):032045.
[24] Champion C, Incerti S, Aouchiche H, et al. A free-parameter theoretical model for describing the electron elastic scattering in water in the Geant4 toolkit[J]. Radiation Physics And Chemistry, 2009,78(9):745-750.
[25] Kyriakou I, Incerti S, Francis Z. Technical Note: Improvements in Geant4 energy-loss model and the effect on low-energy electron transport in liquid water[J]. Medical Physics, 2015,42(7):3870-3876.
[26] Bordage M C, Bordes J, Edel S, et al. Implementation of new physics models for low energy electrons in liquid water in Geant4-DNA[J]. Physica Medica, 2016,32(12):1833-1840.
[27] Emfietzoglou D. Inelastic cross-sections for electron transport in liquid water: a comparison of dielectric models[J]. Radiation Physics & Chemistry, 2003,66(6):373-385.
[28] Emfietzoglou D, Nikjoo H. The effect of model approximations on single-collision distributions of low-energy electrons in liquid water[J]. Radiation Research, 2005,163(1):98-111.
[29] Bordage M C, Bordes J, Edel S, et al. Implementation of new physics models for low energy electrons in liquid water in Geant4-DNA[J]. Physica Medica, 2016,32(12):1833-1840.
[30] Kim Y K, Rudd M E. Binary-encounter-dipole model for electron-impact ionization[J]. Physical Review A, 1994,50(5):3954.
[31] Kellerer A M. The dosimetry of ionizing radiation[M]. Academic Press, 1985.

Monoenergetic Electron Microdosimetry Simulation Based on Geant4-DNA Package

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