Comparison of two methods simulating inter-track interactions using the radiobiological Monte Carlo toolkit TOPAS-nBio

被引:3
作者
Derksen, Larissa [1 ]
Adeberg, Sebastian [2 ,3 ,4 ]
Zink, Klemens [1 ,2 ,3 ]
Baumann, Kilian-Simon [1 ,2 ,3 ]
机构
[1] Univ Appl Sci, Inst Med Phys & Radiat Protect, Giessen, Germany
[2] Marburg Univ Hosp, Dept Radiotherapy & Radiat Oncol, Marburg, Germany
[3] Marburg Univ Hosp, Marburg Ion Beam Therapy Ctr MIT, Dept Radiotherapy & Radiat Oncol, Marburg, Germany
[4] Univ Canc Ctr, Marburg, Germany
关键词
Monte Carlo simulation; GEANT4-DNA; TOPAS-nBio; inter-track interactions; RADIATION;
D O I
10.1088/1361-6560/ad1cf4
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Objective. To compare two independently developed methods that enable modelling inter-track interactions in TOPAS-nBio by examining the yield of radiolytic species in radiobiological Monte Carlo track structure simulations. One method uses a phase space file to assign more than one primary to one event, allowing for inter-track interaction between these primary particles. This method has previously been developed by this working group and published earlier. Using the other method, chemical reactions are simulated based on a new version of the independent reaction time approach to allow inter-track interactions. Approach. G-values were calculated and compared using both methods for different numbers of tracks able to undergo inter-track interactions. Main results. Differences in the G-values simulated with the two methods strongly depend on the molecule type, and deviations can range up to 3.9% (H2O2), although, on average, the deviations are smaller than 1.5%. Significance. Both methods seem to be suitable for simulating inter-track interactions, as they provide comparable G-values even though both techniques were developed independently of each other.
引用
收藏
页数:9
相关论文
共 19 条
[1]   GEANT4-a simulation toolkit [J].
Agostinelli, S ;
Allison, J ;
Amako, K ;
Apostolakis, J ;
Araujo, H ;
Arce, P ;
Asai, M ;
Axen, D ;
Banerjee, S ;
Barrand, G ;
Behner, F ;
Bellagamba, L ;
Boudreau, J ;
Broglia, L ;
Brunengo, A ;
Burkhardt, H ;
Chauvie, S ;
Chuma, J ;
Chytracek, R ;
Cooperman, G ;
Cosmo, G ;
Degtyarenko, P ;
Dell'Acqua, A ;
Depaola, G ;
Dietrich, D ;
Enami, R ;
Feliciello, A ;
Ferguson, C ;
Fesefeldt, H ;
Folger, G ;
Foppiano, F ;
Forti, A ;
Garelli, S ;
Giani, S ;
Giannitrapani, R ;
Gibin, D ;
Cadenas, JJG ;
González, I ;
Abril, GG ;
Greeniaus, G ;
Greiner, W ;
Grichine, V ;
Grossheim, A ;
Guatelli, S ;
Gumplinger, P ;
Hamatsu, R ;
Hashimoto, K ;
Hasui, H ;
Heikkinen, A ;
Howard, A .
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2003, 506 (03) :250-303
[2]   Geant4 developments and applications [J].
Allison, J ;
Amako, K ;
Apostolakis, J ;
Araujo, H ;
Dubois, PA ;
Asai, M ;
Barrand, G ;
Capra, R ;
Chauvie, S ;
Chytracek, R ;
Cirrone, GAP ;
Cooperman, G ;
Cosmo, G ;
Cuttone, G ;
Daquino, GG ;
Donszelmann, M ;
Dressel, M ;
Folger, G ;
Foppiano, F ;
Generowicz, J ;
Grichine, V ;
Guatelli, S ;
Gumplinger, P ;
Heikkinen, A ;
Hrivnacova, I ;
Howard, A ;
Incerti, S ;
Ivanchenko, V ;
Johnson, T ;
Jones, F ;
Koi, T ;
Kokoulin, R ;
Kossov, M ;
Kurashige, H ;
Lara, V ;
Larsson, S ;
Lei, F ;
Link, O ;
Longo, F ;
Maire, M ;
Mantero, A ;
Mascialino, B ;
McLaren, I ;
Lorenzo, PM ;
Minamimoto, K ;
Murakami, K ;
Nieminen, P ;
Pandola, L ;
Parlati, S ;
Peralta, L .
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2006, 53 (01) :270-278
[3]  
Baikalov A, 2022, Arxiv, DOI arXiv:2207.12287
[4]   A method to implement inter-track interactions in Monte Carlo simulations with TOPAS-nBio and their influence on simulated radical yields following water radiolysis [J].
Derksen, Larissa ;
Flatten, Veronika ;
Engenhart-Cabillic, Rita ;
Zink, Klemens ;
Baumann, Kilian-Simon .
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 68 (13)
[5]   Investigating the feasibility of TOPAS-nBio for Monte Carlo track structure simulations by adapting GEANT4-DNA examples application [J].
Derksen, Larissa ;
Pfuhl, Tabea ;
Engenhart-Cabillic, Rita ;
Zink, Klemens ;
Baumann, Kilian-Simon .
PHYSICS IN MEDICINE AND BIOLOGY, 2021, 66 (17)
[6]   The TOPAS tool for particle simulation, a Monte Carlo simulation tool for physics, biology and clinical research [J].
Faddegon, Bruce ;
Ramos-Mendez, Jose ;
Schuemann, Jan ;
McNamara, Aimee ;
Shin, Jungwook ;
Perl, Joseph ;
Paganetti, Harald .
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2020, 72 :114-121
[7]   STOCHASTIC MODELING OF FAST KINETICS IN A RADIATION TRACK [J].
GREEN, NJB ;
PILLING, MJ ;
PIMBLOTT, SM ;
CLIFFORD, P .
JOURNAL OF PHYSICAL CHEMISTRY, 1990, 94 (01) :251-258
[8]   Geant4-DNA example applications for track structure simulations in liquid water: A report from the Geant4-DNA Project [J].
Incerti, S. ;
Kyriakou, I. ;
Bernal, M. A. ;
Bordage, M. C. ;
Francis, Z. ;
Guatelli, S. ;
Ivanchenko, V. ;
Karamitros, M. ;
Lampe, N. ;
Lee, S. B. ;
Meylan, S. ;
Min, C. H. ;
Shin, W. G. ;
Nieminen, P. ;
Sakata, D. ;
Tang, N. ;
Villagrasa, C. ;
Tran, H. N. ;
Brown, J. M. C. .
MEDICAL PHYSICS, 2018, 45 (08) :E722-E739
[9]   THE GEANT4-DNA PROJECT [J].
Incerti, S. ;
Baldacchino, G. ;
Bernal, M. ;
Capra, R. ;
Champion, C. ;
Francis, Z. ;
Gueye, P. ;
Mantero, A. ;
Mascialino, B. ;
Moretto, P. ;
Nieminen, P. ;
Villagrasa, C. ;
Zacharatou, C. .
INTERNATIONAL JOURNAL OF MODELING SIMULATION AND SCIENTIFIC COMPUTING, 2010, 1 (02) :157-178
[10]  
Karamitros M., 2011, PROGR NUCL SCI TECHN, P503, DOI [10.15669/pnst.2.503, DOI 10.15669/PNST.2.503]