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dc.contributor.authorTartar, Ahmet
dc.date.accessioned2021-03-04T17:41:50Z
dc.date.available2021-03-04T17:41:50Z
dc.date.issued2014
dc.identifier.citationTartar A., "Monte Carlo simulation approaches to dose distributions for 6 MV photon beams in clinical linear accelerator", BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, cilt.34, sa.2, ss.90-100, 2014
dc.identifier.issn0208-5216
dc.identifier.otherav_86c13c3b-d25b-4888-8fc6-6536a3260ce7
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/91586
dc.identifier.urihttps://doi.org/10.1016/j.bbe.2014.01.002
dc.description.abstractMonte Carlo method is often used in radiation therapy as utilized in all the branches of science. For this purpose, various preset codes are used for the dose calculations in radiotherapy. In this study, a new Monte Carlo Simulation Program (MCSP) was developed for the dose distributions of a clinical linear accelerator (LINAC) in water phantom. MCSP was carried out by taking into account the interactions of photons with matter in MATLAB (The Mathworks, Inc.). In the study, 6 MeV (6 MV photon mode) energies of photons are examined. In order to validate the performance and accuracy of the simulation, the experimental measurements and MCSP calculations were compared for both percentage depth dose curves and beam profiles. The Monte Carlo results show good agreement with experimental results. (C) 2014 Nalecz Institute of Biocybernetics and Biomedical Engineering. Published by Elsevier Urban & Partner Sp. z O.O. All rights reserved.
dc.language.isoeng
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik ve Teknoloji
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.subjectMühendislik
dc.subjectBiyomedikal Mühendisliği
dc.titleMonte Carlo simulation approaches to dose distributions for 6 MV photon beams in clinical linear accelerator
dc.typeMakale
dc.relation.journalBIOCYBERNETICS AND BIOMEDICAL ENGINEERING
dc.contributor.departmentİstanbul Üniversitesi , Mühendislik , Mühendislik Bilimleri
dc.identifier.volume34
dc.identifier.issue2
dc.identifier.startpage90
dc.identifier.endpage100
dc.contributor.firstauthorID212158


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