Literature DB >> 11324958

Monte Carlo simulation of electron beams from an accelerator head using PENELOPE.

J Sempau1, A Sánchez-Reyes, F Salvat, H O ben Tahar, S B Jiang, J M Fernández-Varea.   

Abstract

The Monte Carlo code PENELOPE has been used to simulate electron beams from a Siemens Mevatron KDS linac with nominal energies of 6, 12 and 18 MeV. Owing to its accuracy, which stems from that of the underlying physical interaction models, PENELOPE is suitable for simulating problems of interest to the medical physics community. It includes a geometry package that allows the definition of complex quadric geometries, such as those of irradiation instruments, in a straightforward manner. Dose distributions in water simulated with PENELOPE agree well with experimental measurements using a silicon detector and a monitoring ionization chamber. Insertion of a lead slab in the incident beam at the surface of the water phantom produces sharp variations in the dose distributions, which are correctly reproduced by the simulation code. Results from PENELOPE are also compared with those of equivalent simulations with the EGS4-based user codes BEAM and DOSXYZ. Angular and energy distributions of electrons and photons in the phase-space plane (at the downstream end of the applicator) obtained from both simulation codes are similar, although significant differences do appear in some cases. These differences, however, are shown to have a negligible effect on the calculated dose distributions. Various practical aspects of the simulations, such as the calculation of statistical uncertainties and the effect of the 'latent' variance in the phase-space file, are discussed in detail.

Entities:  

Mesh:

Year:  2001        PMID: 11324958     DOI: 10.1088/0031-9155/46/4/318

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  29 in total

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3.  PRIMO: a graphical environment for the Monte Carlo simulation of Varian and Elekta linacs.

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Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

5.  Kilovoltage beam Monte Carlo dose calculations in submillimeter voxels for small animal radiotherapy.

Authors:  Magdalena Bazalova; Hu Zhou; Paul J Keall; Edward E Graves
Journal:  Med Phys       Date:  2009-11       Impact factor: 4.071

6.  Improved efficiency in Monte Carlo simulation for passive-scattering proton therapy.

Authors:  J Ramos Méndez; J Perl; J Schümann; J Shin; H Paganetti; B Faddegon
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

7.  A GPU-accelerated Monte Carlo dose calculation platform and its application toward validating an MRI-guided radiation therapy beam model.

Authors:  Yuhe Wang; Thomas R Mazur; Olga Green; Yanle Hu; Hua Li; Vivian Rodriguez; H Omar Wooten; Deshan Yang; Tianyu Zhao; Sasa Mutic; H Harold Li
Journal:  Med Phys       Date:  2016-07       Impact factor: 4.071

8.  Monte Carlo study on optimal breast voxel resolution for dosimetry estimates in digital breast tomosynthesis.

Authors:  Christian Fedon; Carolina Rabin; Marco Caballo; Oliver Diaz; Eloy García; Alejandro Rodríguez-Ruiz; Gabriel A González-Sprinberg; Ioannis Sechopoulos
Journal:  Phys Med Biol       Date:  2018-12-19       Impact factor: 3.609

9.  Estimating statistical uncertainty of Monte Carlo efficiency-gain in the context of a correlated sampling Monte Carlo code for brachytherapy treatment planning with non-normal dose distribution.

Authors:  Nitai D Mukhopadhyay; Andrew J Sampson; Daniel Deniz; Gudrun Alm Carlsson; Jeffrey Williamson; Alexandr Malusek
Journal:  Appl Radiat Isot       Date:  2011-09-29       Impact factor: 1.513

10.  Monte Carlo modeling of a Novalis Tx Varian 6 MV with HD-120 multileaf collimator.

Authors:  Luis Alberto Vazquez-Quino; Brian Massingill; Chengyu Shi; Alonso Gutierrez; Carlos Esquivel; Tony Eng; Nikos Papanikolaou; Sotirios Stathakis
Journal:  J Appl Clin Med Phys       Date:  2012-09-06       Impact factor: 2.102

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