Literature DB >> 17441253

Automatic determination of primary electron beam parameters in Monte Carlo simulation.

Javier Pena1, Diego M González-Castaño, Faustino Gómez, Francisco Sánchez-Doblado, Guenther H Hartmann.   

Abstract

In order to obtain realistic and reliable Monte Carlo simulations of medical linac photon beams, an accurate determination of the parameters that define the primary electron beam that hits the target is a fundamental step. In this work we propose a new methodology to commission photon beams in Monte Carlo simulations that ensures the reproducibility of a wide range of clinically useful fields. For such purpose accelerated Monte Carlo simulations of 2 x 2, 10 x 10, and 20 x 20 cm2 fields at SSD = 100 cm are carried out for several combinations of the primary electron beam mean energy and radial FWHM. Then, by performing a simultaneous comparison with the correspondent measurements for these same fields, the best combination is selected. This methodology has been employed to determine the characteristics of the primary electron beams that best reproduce a Siemens PRIMUS and a Varian 2100 CD machine in the Monte Carlo simulations. Excellent agreements were obtained between simulations and measurements for a wide range of field sizes. Because precalculated profiles are stored in databases, the whole commissioning process can be fully automated, avoiding manual fine-tunings. These databases can also be used to characterize any accelerators of the same model from different sites.

Mesh:

Year:  2007        PMID: 17441253     DOI: 10.1118/1.2514155

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  8 in total

1.  Dosimetric verification of the anisotropic analytical algorithm in lung equivalent heterogeneities with and without bone equivalent heterogeneities.

Authors:  Kaoru Ono; Satoru Endo; Kenichi Tanaka; Masaharu Hoshi; Yutaka Hirokawa
Journal:  Med Phys       Date:  2010-08       Impact factor: 4.071

2.  The change of response of ionization chambers in the penumbra and transmission regions: impact for IMRT verification.

Authors:  D González-Castaño; J Pena; F Sánchez-Doblado; G H Hartmann; F Gómez; A Leal
Journal:  Med Biol Eng Comput       Date:  2007-09-08       Impact factor: 2.602

Review 3.  Monte Carlo systems used for treatment planning and dose verification.

Authors:  Lorenzo Brualla; Miguel Rodriguez; Antonio M Lallena
Journal:  Strahlenther Onkol       Date:  2016-11-25       Impact factor: 3.621

4.  Monte Carlo Simulation of Siemens ONCOR Linear Accelerator with BEAMnrc and DOSXYZnrc Code.

Authors:  Keyvan Jabbari; Hossein Saberi Anvar; Mohammad Bagher Tavakoli; Alireza Amouheidari
Journal:  J Med Signals Sens       Date:  2013-07

5.  Monte Carlo Investigation of Photon Beam Characteristics and its Variation with Incident Electron Beam Parameters for Indigenous Medical Linear Accelerator.

Authors:  Subhalaxmi Mishra; P K Dixit; T Palani Selvam; Sanket S Yavalkar; D D Deshpande
Journal:  J Med Phys       Date:  2018 Jan-Mar

6.  Implementation of a double Gaussian source model for the BEAMnrc Monte Carlo code and its influence on small fields dose distributions.

Authors:  Edgardo Doerner; Paola Caprile
Journal:  J Appl Clin Med Phys       Date:  2016-09-08       Impact factor: 2.102

7.  An investigation into the use of MMCTP to tune accelerator source parameters and testing its clinical application.

Authors:  Elaine Conneely; Andrew Alexander; Gabriella Stroian; Jan Seuntjens; Mark J Foley
Journal:  J Appl Clin Med Phys       Date:  2013-03-04       Impact factor: 2.102

8.  Benchmarking of electron beam parameters based on Monte Carlo linear accelerator simulation.

Authors:  Fan Zhang; Mi Zhou; Jing Liu; Lu Yue; Lihua Deng; Zhijian Xu; Gang Wang
Journal:  Transl Cancer Res       Date:  2020-02       Impact factor: 1.241

  8 in total

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