Literature DB >> 10616151

Comparison of EGS4 and MCNP4b Monte Carlo codes for generation of photon phase space distributions for a Varian 2100C.

J V Siebers1, P J Keall, B Libby, R Mohan.   

Abstract

Monte Carlo based dose calculation algorithms require input data or distributions describing the phase space of the photons and secondary electrons prior to the patient-dependent part of the beam-line geometry. The accuracy of the treatment plan itself is dependent upon the accuracy of this distribution. The purpose of this work is to compare phase space distributions (PSDs) generated with the MCNP4b and EGS4 Monte Carlo codes for the 6 and 18 MV photon modes of the Varian 2100C and determine if differences relevant to Monte Carlo based patient dose calculations exist. Calculations are performed with the same energy transport cut-off values. At 6 MV, target bremsstrahlung production for MCNP4b is approximately 10% less than for EGS4, while at 18 MV the difference is about 5%. These differences are due to the different bremsstrahlung cross sections used in the codes. Although the absolute bremsstrahlung production differs between MCNP4b and EGS4, normalized PSDs agree at the end of the patient-independent geometry (prior to the jaws), resulting in similar dose distributions in a homogeneous phantom. EGS4 and MCNP4b are equally suitable for the generation of PSDs for Monte Carlo based dose computations.

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Year:  1999        PMID: 10616151     DOI: 10.1088/0031-9155/44/12/311

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


  14 in total

1.  Optical cone beam tomography of Cherenkov-mediated signals for fast 3D dosimetry of x-ray photon beams in water.

Authors:  Adam K Glaser; Jacqueline M Andreozzi; Rongxiao Zhang; Brian W Pogue; David J Gladstone
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

2.  Video-rate optical dosimetry and dynamic visualization of IMRT and VMAT treatment plans in water using Cherenkov radiation.

Authors:  Adam K Glaser; Jacqueline M Andreozzi; Scott C Davis; Rongxiao Zhang; Brian W Pogue; Colleen J Fox; David J Gladstone
Journal:  Med Phys       Date:  2014-06       Impact factor: 4.071

3.  The effect of statistical noise on IMRT plan quality and convergence for MC-based and MC-correction-based optimized treatment plans.

Authors:  Jeffrey V Siebers
Journal:  J Phys Conf Ser       Date:  2008-04-04

4.  An energy transfer method for 4D Monte Carlo dose calculation.

Authors:  Jeffrey V Siebers; Hualiang Zhong
Journal:  Med Phys       Date:  2008-09       Impact factor: 4.071

5.  A method to improve accuracy and precision of water surface identification for photon depth dose measurements.

Authors:  J D Ververs; M J Schaefer; I Kawrakow; J V Siebers
Journal:  Med Phys       Date:  2009-04       Impact factor: 4.071

6.  Evaluation of dose prediction errors and optimization convergence errors of deliverable-based head-and-neck IMRT plans computed with a superposition/convolution dose algorithm.

Authors:  I B Mihaylov; J V Siebers
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

7.  Monte Carlo dose mapping on deforming anatomy.

Authors:  Hualiang Zhong; Jeffrey V Siebers
Journal:  Phys Med Biol       Date:  2009-09-09       Impact factor: 3.609

8.  Development and validation of MCNPX-based Monte Carlo treatment plan verification system.

Authors:  Iraj Jabbari; Shahram Monadi
Journal:  J Med Phys       Date:  2015 Apr-Jun

9.  Monte Carlo dose verification of prostate patients treated with simultaneous integrated boost intensity modulated radiation therapy.

Authors:  Nesrin Dogan; Ivaylo Mihaylov; Yan Wu; Paul J Keall; Jeffrey V Siebers; Michael P Hagan
Journal:  Radiat Oncol       Date:  2009-06-15       Impact factor: 3.481

10.  Molecular Optical Simulation Environment (MOSE): a platform for the simulation of light propagation in turbid media.

Authors:  Shenghan Ren; Xueli Chen; Hailong Wang; Xiaochao Qu; Ge Wang; Jimin Liang; Jie Tian
Journal:  PLoS One       Date:  2013-04-08       Impact factor: 3.240

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