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Simulation and experimental verificationof dose distributions of electron beams

Published online by Cambridge University Press:  21 March 2012

J. Šemnická  and
J. Klusoň
J. Šemnická
Affiliation:
Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering, Brehova 7, Prague 1, 115 19, Czech Republic Na Homolce Hospital, Medical Physics Department, Roentgenova 37/2, Prague 5, 150 00, Czech Republic
J. Klusoň
Affiliation:
Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering, Brehova 7, Prague 1, 115 19, Czech Republic
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Abstract

Accurate dose calculations are very important in radiotherapy treatment planning. The Monte Carlo method has proven to be an accurate and reliable method for simulation of the dose distributions from electron beams and can provide theoretically more accurate distributions than conventional planning system algorithms (e.g. the Generalized Gaussian Pencil Beam algorithm) for more complex target configurations. The aim of this work was to assess the parameters and spectrum of a given electron beam (Varian CLINAC 2100 C/D) from experimental depth dose distribution and then simulate dose distributions in an experimental arrangement with a 3D polymer gel dosimeter. The comparison of data from experimental measurements, Monte Carlo calculations and the planning system enabled us to verify experimentally the simulation model and technique as well as the planning system results. Both simple and more complex systems (e.g. dose distributions close to different material interfaces) can be studied. The generation and influence of the “bremsstrahlung” photons in the electron beams was also analyzed using the simulation technique. The computations, experimental methods used and results obtained are presented and discussed.

Keywords

Monte Carlo simulationelectron beams3D gel dosimetrytreatment planning systems
Type
Research Article
Information
Radioprotection , Volume 47 , Issue 1 , January 2012 , pp. 79 - 91
Copyright
© EDP Sciences, 2012

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