Monte Carlo calculation of proton stopping power and ranges in water for therapeutic energies

被引:8
作者
Bozkurt, Ahmet [1 ]
机构
[1] Akdeniz Univ, Fac Engn, Dept Biomed Engn, Antalya, Turkey
来源
3RD INTERNATIONAL CONFERENCE ON THEORETICAL AND EXPERIMENTAL STUDIES IN NUCLEAR APPLICATIONS AND TECHNOLOGY (TESNAT 2017) | 2017年 / 154卷
关键词
D O I
10.1051/epjconf/201715401007
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
Monte Carlo is a statistical technique for obtaining numerical solutions to physical or mathematical problems that are analytically impractical, if not impossible, to solve. For charged particle transport problems, it presents many advantages over deterministic methods since such problems require a realistic description of the problem geometry, as well as detailed tracking of every source particle. Thus, MC can be considered as a powerful alternative to the well-known Bethe-Bloche equation where an equation with various corrections is used to obtain stopping power and ranges of electrons, positrons, protons, alphas, etc. This study presents how a stochastic method such as MC can be utilized to obtain certain quantities of practical importance related to charged particle transport. Sample simulation geometries were formed for water medium where disk shaped thin detectors were employed to compute average values of absorbed dose and flux at specific distances. For each detector cell, these quantities were utilized to evaluate the values of the range and the stopping power, as well as the shape of Bragg curve, for mono-energetic point source pencil beams of protons. The results were found to be +/- 2% compared to the data from the NIST compilation. It is safe to conclude that this approach can be extended to determine dosimetric quantities for other media, energies and charged particle types.
引用
收藏
页数:3
相关论文
共 50 条
[41]   Direct calculation of excited state energies by spectral evolution Monte Carlo. [J].
Huang, P ;
Paesani, F ;
Whaley, KB .
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2003, 226 :U294-U294
[42]   A Monte Carlo Resampling Approach for the Calculation of Hybrid Classical and Quantum Free Energies [J].
Cave-Ayland, Christopher ;
Skylaris, Chris-Kriton ;
Essex, Jonathan W. .
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2017, 13 (02) :415-424
[43]   SIMPLE RESULTS ON COHESIVE ENERGIES OF CLAYS FROM A MONTE-CARLO CALCULATION [J].
DELVILLE, A ;
LASZLO, P .
NEW JOURNAL OF CHEMISTRY, 1989, 13 (06) :481-491
[44]   A Monte Carlo Study of the Relative Stopping Power Reconstruction Accuracy for Helium CT [J].
Piersimoni, P. ;
Bashkirov, V. ;
Faddegon, B. ;
Ramos-Mendez, J. ;
Schulte, R. ;
Seco, J. .
MEDICAL PHYSICS, 2017, 44 (06)
[45]   Estimation of uncertainties in stopping-power ratios using Monte Carlo methods [J].
Andreo, P. ;
Fransson, A. .
Applied Radiation and Isotopes, 1992, 43 (11)
[46]   Monte Carlo Calculated Stopping-Power of EBT3 and EBT-XD Film for Pristine Proton Beams [J].
Shi, C. ;
Chen, C. ;
Mah, D. ;
Chan, M. .
MEDICAL PHYSICS, 2017, 44 (06)
[47]   Strangeness Production from Proton-Proton Collisions at Different Energies by Using Monte Carlo Simulation [J].
Hussein, Ahmed ;
Mahmoud, M. A. ;
Aly, Ayman A. ;
El-Hammamy, M. N. ;
Mohammed, Yasser .
UNIVERSE, 2022, 8 (11)
[48]   Study of Monte Carlo event generators for proton-proton collisions at LHC energies in the forward region [J].
Alexandru Ctlin ENE ;
Alexandru JIPA ;
LaviniaElena GIUBEGA .
Chinese Physics C, 2019, (08) :1-14
[49]   Study of Monte Carlo event generators for proton-proton collisions at LHC energies in the forward region [J].
Ene, Alexandra Catalin ;
Jipa, Alexandra ;
Giubega, Lavinia-Elena .
CHINESE PHYSICS C, 2019, 43 (08)
[50]   A MONTE-CARLO CALCULATION OF SURFACE-PROPERTIES OF WATER [J].
BORSTNIK, B ;
JANEZIC, D ;
AZMAN, A .
ACTA PHYSICA ACADEMIAE SCIENTIARUM HUNGARICAE, 1980, 48 (2-3) :297-302