Validation of Monte Carlo Geant4 code for a

This study is aimed at validating the Monte Carlo Geant4.9.4 code for a 6 MV Varian linac configuring a 10 × 10 cm2 radiation field. For this purpose a user-friendly Geant4 code called G4Linac has been developed from scratch allowing an accurate modeling of a 6 MV Varian linac head and performing do...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Jaafar EL Bakkali [verfasserIn] Tarek EL Bardouni [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Monte Carlo Linac Varian G4Linac Geant4 Bremsstrahlung splitting technique

Übergeordnetes Werk:	In: Journal of King Saud University: Science - Elsevier, 2016, 29(2017), 1, Seite 106-113
Übergeordnetes Werk:	volume:29 ; year:2017 ; number:1 ; pages:106-113

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.jksus.2016.03.003

Katalog-ID:	DOAJ006314880

Internformat


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allfields	10.1016/j.jksus.2016.03.003 doi (DE-627)DOAJ006314880 (DE-599)DOAJ8fb36d5f2f7742e1990795b472997dbe DE-627 ger DE-627 rakwb eng Q1-390 Jaafar EL Bakkali verfasserin aut Validation of Monte Carlo Geant4 code for a 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study is aimed at validating the Monte Carlo Geant4.9.4 code for a 6 MV Varian linac configuring a 10 × 10 cm2 radiation field. For this purpose a user-friendly Geant4 code called G4Linac has been developed from scratch allowing an accurate modeling of a 6 MV Varian linac head and performing dose calculation in a homogeneous water phantom. Discarding the other accelerator parts where electrons are created, accelerated and deviated, a virtual source of 6 MeV electrons was considered. The parameters associated with this virtual source are often unknown. Those parameters are mean energy, sigma and its full width at half maximum has been adjusted by following our own methodology that has been developed in such a manner that the optimization phase will be fast and efficient, in fact, a small number of Monte Carlo simulations has been conducted simultaneously on a cluster of computers thanks to the Rocks cluster software. The calculated dosimetric functions in a 40 × 40 × 40 cm3 water phantom were compared to the measured ones thanks to the Gamma Index method, where the gamma criterion was fixed within 2%–1 mm accuracy. After optimization, it was observed that the proper mean energy, sigma and its full width at half maximum are 5.6 MeV, 0.42 MeV and 1.177 mm, respectively. Furthermore, we have made some changes in an existing bremsstrahlung splitting technique, due to which we have succeeded to reduce the CPU time spent by the treatment head simulation about five times. Monte Carlo Linac Varian G4Linac Geant4 Bremsstrahlung splitting technique Science (General) Tarek EL Bardouni verfasserin aut In Journal of King Saud University: Science Elsevier, 2016 29(2017), 1, Seite 106-113 (DE-627)608942790 (DE-600)2514731-6 10183647 nnns volume:29 year:2017 number:1 pages:106-113 https://doi.org/10.1016/j.jksus.2016.03.003 kostenfrei https://doaj.org/article/8fb36d5f2f7742e1990795b472997dbe kostenfrei http://www.sciencedirect.com/science/article/pii/S1018364716300313 kostenfrei https://doaj.org/toc/1018-3647 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 29 2017 1 106-113
spelling	10.1016/j.jksus.2016.03.003 doi (DE-627)DOAJ006314880 (DE-599)DOAJ8fb36d5f2f7742e1990795b472997dbe DE-627 ger DE-627 rakwb eng Q1-390 Jaafar EL Bakkali verfasserin aut Validation of Monte Carlo Geant4 code for a 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study is aimed at validating the Monte Carlo Geant4.9.4 code for a 6 MV Varian linac configuring a 10 × 10 cm2 radiation field. For this purpose a user-friendly Geant4 code called G4Linac has been developed from scratch allowing an accurate modeling of a 6 MV Varian linac head and performing dose calculation in a homogeneous water phantom. Discarding the other accelerator parts where electrons are created, accelerated and deviated, a virtual source of 6 MeV electrons was considered. The parameters associated with this virtual source are often unknown. Those parameters are mean energy, sigma and its full width at half maximum has been adjusted by following our own methodology that has been developed in such a manner that the optimization phase will be fast and efficient, in fact, a small number of Monte Carlo simulations has been conducted simultaneously on a cluster of computers thanks to the Rocks cluster software. The calculated dosimetric functions in a 40 × 40 × 40 cm3 water phantom were compared to the measured ones thanks to the Gamma Index method, where the gamma criterion was fixed within 2%–1 mm accuracy. After optimization, it was observed that the proper mean energy, sigma and its full width at half maximum are 5.6 MeV, 0.42 MeV and 1.177 mm, respectively. Furthermore, we have made some changes in an existing bremsstrahlung splitting technique, due to which we have succeeded to reduce the CPU time spent by the treatment head simulation about five times. Monte Carlo Linac Varian G4Linac Geant4 Bremsstrahlung splitting technique Science (General) Tarek EL Bardouni verfasserin aut In Journal of King Saud University: Science Elsevier, 2016 29(2017), 1, Seite 106-113 (DE-627)608942790 (DE-600)2514731-6 10183647 nnns volume:29 year:2017 number:1 pages:106-113 https://doi.org/10.1016/j.jksus.2016.03.003 kostenfrei https://doaj.org/article/8fb36d5f2f7742e1990795b472997dbe kostenfrei http://www.sciencedirect.com/science/article/pii/S1018364716300313 kostenfrei https://doaj.org/toc/1018-3647 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 29 2017 1 106-113
allfields_unstemmed	10.1016/j.jksus.2016.03.003 doi (DE-627)DOAJ006314880 (DE-599)DOAJ8fb36d5f2f7742e1990795b472997dbe DE-627 ger DE-627 rakwb eng Q1-390 Jaafar EL Bakkali verfasserin aut Validation of Monte Carlo Geant4 code for a 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study is aimed at validating the Monte Carlo Geant4.9.4 code for a 6 MV Varian linac configuring a 10 × 10 cm2 radiation field. For this purpose a user-friendly Geant4 code called G4Linac has been developed from scratch allowing an accurate modeling of a 6 MV Varian linac head and performing dose calculation in a homogeneous water phantom. Discarding the other accelerator parts where electrons are created, accelerated and deviated, a virtual source of 6 MeV electrons was considered. The parameters associated with this virtual source are often unknown. Those parameters are mean energy, sigma and its full width at half maximum has been adjusted by following our own methodology that has been developed in such a manner that the optimization phase will be fast and efficient, in fact, a small number of Monte Carlo simulations has been conducted simultaneously on a cluster of computers thanks to the Rocks cluster software. The calculated dosimetric functions in a 40 × 40 × 40 cm3 water phantom were compared to the measured ones thanks to the Gamma Index method, where the gamma criterion was fixed within 2%–1 mm accuracy. After optimization, it was observed that the proper mean energy, sigma and its full width at half maximum are 5.6 MeV, 0.42 MeV and 1.177 mm, respectively. Furthermore, we have made some changes in an existing bremsstrahlung splitting technique, due to which we have succeeded to reduce the CPU time spent by the treatment head simulation about five times. Monte Carlo Linac Varian G4Linac Geant4 Bremsstrahlung splitting technique Science (General) Tarek EL Bardouni verfasserin aut In Journal of King Saud University: Science Elsevier, 2016 29(2017), 1, Seite 106-113 (DE-627)608942790 (DE-600)2514731-6 10183647 nnns volume:29 year:2017 number:1 pages:106-113 https://doi.org/10.1016/j.jksus.2016.03.003 kostenfrei https://doaj.org/article/8fb36d5f2f7742e1990795b472997dbe kostenfrei http://www.sciencedirect.com/science/article/pii/S1018364716300313 kostenfrei https://doaj.org/toc/1018-3647 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 29 2017 1 106-113
allfieldsGer	10.1016/j.jksus.2016.03.003 doi (DE-627)DOAJ006314880 (DE-599)DOAJ8fb36d5f2f7742e1990795b472997dbe DE-627 ger DE-627 rakwb eng Q1-390 Jaafar EL Bakkali verfasserin aut Validation of Monte Carlo Geant4 code for a 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study is aimed at validating the Monte Carlo Geant4.9.4 code for a 6 MV Varian linac configuring a 10 × 10 cm2 radiation field. For this purpose a user-friendly Geant4 code called G4Linac has been developed from scratch allowing an accurate modeling of a 6 MV Varian linac head and performing dose calculation in a homogeneous water phantom. Discarding the other accelerator parts where electrons are created, accelerated and deviated, a virtual source of 6 MeV electrons was considered. The parameters associated with this virtual source are often unknown. Those parameters are mean energy, sigma and its full width at half maximum has been adjusted by following our own methodology that has been developed in such a manner that the optimization phase will be fast and efficient, in fact, a small number of Monte Carlo simulations has been conducted simultaneously on a cluster of computers thanks to the Rocks cluster software. The calculated dosimetric functions in a 40 × 40 × 40 cm3 water phantom were compared to the measured ones thanks to the Gamma Index method, where the gamma criterion was fixed within 2%–1 mm accuracy. After optimization, it was observed that the proper mean energy, sigma and its full width at half maximum are 5.6 MeV, 0.42 MeV and 1.177 mm, respectively. Furthermore, we have made some changes in an existing bremsstrahlung splitting technique, due to which we have succeeded to reduce the CPU time spent by the treatment head simulation about five times. Monte Carlo Linac Varian G4Linac Geant4 Bremsstrahlung splitting technique Science (General) Tarek EL Bardouni verfasserin aut In Journal of King Saud University: Science Elsevier, 2016 29(2017), 1, Seite 106-113 (DE-627)608942790 (DE-600)2514731-6 10183647 nnns volume:29 year:2017 number:1 pages:106-113 https://doi.org/10.1016/j.jksus.2016.03.003 kostenfrei https://doaj.org/article/8fb36d5f2f7742e1990795b472997dbe kostenfrei http://www.sciencedirect.com/science/article/pii/S1018364716300313 kostenfrei https://doaj.org/toc/1018-3647 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 29 2017 1 106-113
allfieldsSound	10.1016/j.jksus.2016.03.003 doi (DE-627)DOAJ006314880 (DE-599)DOAJ8fb36d5f2f7742e1990795b472997dbe DE-627 ger DE-627 rakwb eng Q1-390 Jaafar EL Bakkali verfasserin aut Validation of Monte Carlo Geant4 code for a 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study is aimed at validating the Monte Carlo Geant4.9.4 code for a 6 MV Varian linac configuring a 10 × 10 cm2 radiation field. For this purpose a user-friendly Geant4 code called G4Linac has been developed from scratch allowing an accurate modeling of a 6 MV Varian linac head and performing dose calculation in a homogeneous water phantom. Discarding the other accelerator parts where electrons are created, accelerated and deviated, a virtual source of 6 MeV electrons was considered. The parameters associated with this virtual source are often unknown. Those parameters are mean energy, sigma and its full width at half maximum has been adjusted by following our own methodology that has been developed in such a manner that the optimization phase will be fast and efficient, in fact, a small number of Monte Carlo simulations has been conducted simultaneously on a cluster of computers thanks to the Rocks cluster software. The calculated dosimetric functions in a 40 × 40 × 40 cm3 water phantom were compared to the measured ones thanks to the Gamma Index method, where the gamma criterion was fixed within 2%–1 mm accuracy. After optimization, it was observed that the proper mean energy, sigma and its full width at half maximum are 5.6 MeV, 0.42 MeV and 1.177 mm, respectively. Furthermore, we have made some changes in an existing bremsstrahlung splitting technique, due to which we have succeeded to reduce the CPU time spent by the treatment head simulation about five times. Monte Carlo Linac Varian G4Linac Geant4 Bremsstrahlung splitting technique Science (General) Tarek EL Bardouni verfasserin aut In Journal of King Saud University: Science Elsevier, 2016 29(2017), 1, Seite 106-113 (DE-627)608942790 (DE-600)2514731-6 10183647 nnns volume:29 year:2017 number:1 pages:106-113 https://doi.org/10.1016/j.jksus.2016.03.003 kostenfrei https://doaj.org/article/8fb36d5f2f7742e1990795b472997dbe kostenfrei http://www.sciencedirect.com/science/article/pii/S1018364716300313 kostenfrei https://doaj.org/toc/1018-3647 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 29 2017 1 106-113
language	English
source	In Journal of King Saud University: Science 29(2017), 1, Seite 106-113 volume:29 year:2017 number:1 pages:106-113
sourceStr	In Journal of King Saud University: Science 29(2017), 1, Seite 106-113 volume:29 year:2017 number:1 pages:106-113
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Monte Carlo Linac Varian G4Linac Geant4 Bremsstrahlung splitting technique Science (General)
isfreeaccess_bool	true
container_title	Journal of King Saud University: Science
authorswithroles_txt_mv	Jaafar EL Bakkali @@aut@@ Tarek EL Bardouni @@aut@@
publishDateDaySort_date	2017-01-01T00:00:00Z
hierarchy_top_id	608942790
id	DOAJ006314880
language_de	englisch
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callnumber-first	Q - Science
author	Jaafar EL Bakkali
spellingShingle	Jaafar EL Bakkali misc Q1-390 misc Monte Carlo misc Linac misc Varian misc G4Linac misc Geant4 misc Bremsstrahlung splitting technique misc Science (General) Validation of Monte Carlo Geant4 code for a
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topic_title	Q1-390 Validation of Monte Carlo Geant4 code for a Monte Carlo Linac Varian G4Linac Geant4 Bremsstrahlung splitting technique
topic	misc Q1-390 misc Monte Carlo misc Linac misc Varian misc G4Linac misc Geant4 misc Bremsstrahlung splitting technique misc Science (General)
topic_unstemmed	misc Q1-390 misc Monte Carlo misc Linac misc Varian misc G4Linac misc Geant4 misc Bremsstrahlung splitting technique misc Science (General)
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title	Validation of Monte Carlo Geant4 code for a
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title_full	Validation of Monte Carlo Geant4 code for a
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author_browse	Jaafar EL Bakkali Tarek EL Bardouni
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title_sort	validation of monte carlo geant4 code for a
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title_auth	Validation of Monte Carlo Geant4 code for a
abstract	This study is aimed at validating the Monte Carlo Geant4.9.4 code for a 6 MV Varian linac configuring a 10 × 10 cm2 radiation field. For this purpose a user-friendly Geant4 code called G4Linac has been developed from scratch allowing an accurate modeling of a 6 MV Varian linac head and performing dose calculation in a homogeneous water phantom. Discarding the other accelerator parts where electrons are created, accelerated and deviated, a virtual source of 6 MeV electrons was considered. The parameters associated with this virtual source are often unknown. Those parameters are mean energy, sigma and its full width at half maximum has been adjusted by following our own methodology that has been developed in such a manner that the optimization phase will be fast and efficient, in fact, a small number of Monte Carlo simulations has been conducted simultaneously on a cluster of computers thanks to the Rocks cluster software. The calculated dosimetric functions in a 40 × 40 × 40 cm3 water phantom were compared to the measured ones thanks to the Gamma Index method, where the gamma criterion was fixed within 2%–1 mm accuracy. After optimization, it was observed that the proper mean energy, sigma and its full width at half maximum are 5.6 MeV, 0.42 MeV and 1.177 mm, respectively. Furthermore, we have made some changes in an existing bremsstrahlung splitting technique, due to which we have succeeded to reduce the CPU time spent by the treatment head simulation about five times.
abstractGer	This study is aimed at validating the Monte Carlo Geant4.9.4 code for a 6 MV Varian linac configuring a 10 × 10 cm2 radiation field. For this purpose a user-friendly Geant4 code called G4Linac has been developed from scratch allowing an accurate modeling of a 6 MV Varian linac head and performing dose calculation in a homogeneous water phantom. Discarding the other accelerator parts where electrons are created, accelerated and deviated, a virtual source of 6 MeV electrons was considered. The parameters associated with this virtual source are often unknown. Those parameters are mean energy, sigma and its full width at half maximum has been adjusted by following our own methodology that has been developed in such a manner that the optimization phase will be fast and efficient, in fact, a small number of Monte Carlo simulations has been conducted simultaneously on a cluster of computers thanks to the Rocks cluster software. The calculated dosimetric functions in a 40 × 40 × 40 cm3 water phantom were compared to the measured ones thanks to the Gamma Index method, where the gamma criterion was fixed within 2%–1 mm accuracy. After optimization, it was observed that the proper mean energy, sigma and its full width at half maximum are 5.6 MeV, 0.42 MeV and 1.177 mm, respectively. Furthermore, we have made some changes in an existing bremsstrahlung splitting technique, due to which we have succeeded to reduce the CPU time spent by the treatment head simulation about five times.
abstract_unstemmed	This study is aimed at validating the Monte Carlo Geant4.9.4 code for a 6 MV Varian linac configuring a 10 × 10 cm2 radiation field. For this purpose a user-friendly Geant4 code called G4Linac has been developed from scratch allowing an accurate modeling of a 6 MV Varian linac head and performing dose calculation in a homogeneous water phantom. Discarding the other accelerator parts where electrons are created, accelerated and deviated, a virtual source of 6 MeV electrons was considered. The parameters associated with this virtual source are often unknown. Those parameters are mean energy, sigma and its full width at half maximum has been adjusted by following our own methodology that has been developed in such a manner that the optimization phase will be fast and efficient, in fact, a small number of Monte Carlo simulations has been conducted simultaneously on a cluster of computers thanks to the Rocks cluster software. The calculated dosimetric functions in a 40 × 40 × 40 cm3 water phantom were compared to the measured ones thanks to the Gamma Index method, where the gamma criterion was fixed within 2%–1 mm accuracy. After optimization, it was observed that the proper mean energy, sigma and its full width at half maximum are 5.6 MeV, 0.42 MeV and 1.177 mm, respectively. Furthermore, we have made some changes in an existing bremsstrahlung splitting technique, due to which we have succeeded to reduce the CPU time spent by the treatment head simulation about five times.
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title_short	Validation of Monte Carlo Geant4 code for a
url	https://doi.org/10.1016/j.jksus.2016.03.003 https://doaj.org/article/8fb36d5f2f7742e1990795b472997dbe http://www.sciencedirect.com/science/article/pii/S1018364716300313 https://doaj.org/toc/1018-3647
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up_date	2024-07-03T20:13:22.402Z
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