Literature DB >> 10616140

Monte Carlo modelling of electron beams from medical accelerators.

C M Ma1, S B Jiang.   

Abstract

Monte Carlo simulation of radiation transport is considered to be one of the most accurate methods of radiation therapy dose calculation. With the rapid development of computer technology, Monte Carlo based treatment planning for radiation therapy is becoming practical. A basic requirement for Monte Carlo treatment planning is a detailed knowledge of the radiation beams from medical accelerators. A practical approach to obtain the above is to perform Monte Carlo simulation of radiation transport in the medical accelerator. Additionally, Monte Carlo modelling of the treatment machine head can also improve our understanding of clinical beam characteristics, help accelerator design and improve the accuracy of clinical dosimetry by providing more realistic beam data. This paper summarizes work over the past two decades on Monte Carlo simulation of clinical electron beams from medical accelerators.

Mesh:

Year:  1999        PMID: 10616140     DOI: 10.1088/0031-9155/44/12/201

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


  24 in total

1.  Interface software for DOSXYZnrc Monte Carlo dose evaluation on a commercial radiation treatment planning system.

Authors:  Etsuo Kunieda; Hossain M Deloar; Shunji Takagi; Koichi Sato; Takatsugu Kawase; Hidetoshi Saitoh; Kimiaki Saito; Osamu Sato; Graham Sorell; Atsushi Kubo
Journal:  Radiat Med       Date:  2007-07-27

2.  Monte Carlo simulation of large electron fields.

Authors:  Bruce A Faddegon; Joseph Perl; Makoto Asai
Journal:  Phys Med Biol       Date:  2008-02-21       Impact factor: 3.609

3.  Determination of electron energy, spectral width, and beam divergence at the exit window for clinical megavoltage x-ray beams.

Authors:  D L Sawkey; B A Faddegon
Journal:  Med Phys       Date:  2009-03       Impact factor: 4.071

4.  Monte Carlo simulation for Neptun 10 PC medical linear accelerator and calculations of output factor for electron beam.

Authors:  Mohammad Taghi Bahreyni Toossi; Mehdi Momennezhad; Seyed Mohammad Hashemi
Journal:  Rep Pract Oncol Radiother       Date:  2012-03-06

5.  Multiple-source models for electron beams of a medical linear accelerator using BEAMDP computer code.

Authors:  Nasrollah Jabbari; Amir Hoshang Barati; Leili Rahmatnezhad
Journal:  Rep Pract Oncol Radiother       Date:  2012-05-30

6.  Treatment head disassembly to improve the accuracy of large electron field simulation.

Authors:  Bruce A Faddegon; Daren Sawkey; Tuathan O'Shea; Malcolm McEwen; Carl Ross
Journal:  Med Phys       Date:  2009-10       Impact factor: 4.071

7.  The accuracy of EGSnrc, Geant4 and PENELOPE Monte Carlo systems for the simulation of electron scatter in external beam radiotherapy.

Authors:  Bruce A Faddegon; Iwan Kawrakow; Yuri Kubyshin; Joseph Perl; Josep Sempau; Laszlo Urban
Journal:  Phys Med Biol       Date:  2009-09-24       Impact factor: 3.609

8.  Fast, accurate photon beam accelerator modeling using BEAMnrc: a systematic investigation of efficiency enhancing methods and cross-section data.

Authors:  Margarida Fragoso; Iwan Kawrakow; Bruce A Faddegon; Timothy D Solberg; Indrin J Chetty
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

9.  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

10.  Monte Carlo N Particle code - Dose distribution of clinical electron beams in inhomogeneous phantoms.

Authors:  H A Nedaie; M A Mosleh-Shirazi; M Allahverdi
Journal:  J Med Phys       Date:  2013-01
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