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dc.creatorIlić, Radovan D.
dc.creatorSpasić-Jokić, Vesna
dc.creatorBeličev, Petar
dc.creatorDragovic, M
dc.date.accessioned2018-03-03T14:09:18Z
dc.date.available2018-03-03T14:09:18Z
dc.date.issued2005
dc.identifier.issn0031-9155
dc.identifier.urihttps://vinar.vin.bg.ac.rs/handle/123456789/6497
dc.description.abstractThis paper describes the application of the SRNA Monte Carlo package for proton transport simulations in complex geometry and different material compositions. The SRNA package was developed for 3D dose distribution calculation in proton therapy and dosimetry and it was based on the theory of multiple scattering. The decay of proton induced compound nuclei was simulated by the Russian MSDM model and our own using ICRU 63 data. The developed package consists of two codes: the SRNA-2KG, which simulates proton transport in combinatorial geometry and the SRNA-VOX, which uses the voxelized geometry using the CT data and conversion of the Hounsfields data to tissue elemental composition. Transition probabilities for both codes are prepared by the SRNADAT code. The simulation of the proton beam characterization by multi-layer Faraday cup, spatial distribution of positron emitters obtained by the SRNA-2KG code and intercomparison of computational codes in radiation dosimetry, indicate immediate application of the Monte Carlo techniques in clinical practice. In this paper, we briefly present the physical model implemented in the SRNA package, the ISTAR proton dose planning software, as well as the results of the numerical experiments with proton beams to obtain 3D dose distribution in the eye and breast tumour.en
dc.rightsrestrictedAccessen
dc.sourcePhysics in Medicine and Biologyen
dc.titleMonte Carlo SRNA-VOX code for 3D proton dose distribution in voxelized geometry using CT dataen
dc.typearticleen
dcterms.abstractБелицев, П; Илиц, РД; Спасиц-Јокиц, В; Драговиц, М;
dc.citation.volume50
dc.citation.issue5
dc.citation.spage1011
dc.citation.epage1017
dc.identifier.wos000227886900024
dc.identifier.doi10.1088/0031-9155/50/5/023
dc.citation.otherSpecial Issue: SI
dc.citation.rankM21
dc.identifier.pmid15798273
dc.description.otherInternational Workshop on Current Topics in Monte Carlo Treatment Planning, May 03-05, 2004, Mcgill Univ, Montreal Gen Hosp, Montreal, Canadaen
dc.identifier.scopus2-s2.0-16444382388


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