Literature DB >> 15587664

Monte Carlo source model for photon beam radiotherapy: photon source characteristics.

Michael K Fix1, Paul J Keall, Kathryn Dawson, Jeffrey V Siebers.   

Abstract

A major barrier to widespread clinical implementation of Monte Carlo dose calculation is the difficulty in characterizing the radiation source within a generalized source model. This work aims to develop a generalized three-component source model (target, primary collimator, flattening filter) for 6- and 18-MV photon beams that match full phase-space data (PSD). Subsource by subsource comparison of dose distributions, using either source PSD or the source model as input, allows accurate source characterization and has the potential to ease the commissioning procedure, since it is possible to obtain information about which subsource needs to be tuned. This source model is unique in that, compared to previous source models, it retains additional correlations among PS variables, which improves accuracy at nonstandard source-to-surface distances (SSDs). In our study, three-dimensional (3D) dose calculations were performed for SSDs ranging from 50 to 200 cm and for field sizes from 1 x 1 to 30 x 30 cm2 as well as a 10 x 10 cm2 field 5 cm off axis in each direction. The 3D dose distributions, using either full PSD or the source model as input, were compared in terms of dose-difference and distance-to-agreement. With this model, over 99% of the voxels agreed within +/-1% or 1 mm for the target, within 2% or 2 mm for the primary collimator, and within +/-2.5% or 2 mm for the flattening filter in all cases studied. For the dose distributions, 99% of the dose voxels agreed within 1% or 1 mm when the combined source model-including a charged particle source and the full PSD as input-was used. The accurate and general characterization of each photon source and knowledge of the subsource dose distributions should facilitate source model commissioning procedures by allowing scaling the histogram distributions representing the subsources to be tuned.

Mesh:

Year:  2004        PMID: 15587664     DOI: 10.1118/1.1803431

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


  8 in total

1.  Analytic IMRT dose calculations utilizing Monte Carlo to predict MLC fluence modulation.

Authors:  I B Mihaylov; F A Lerma; Y Wu; J V Siebers
Journal:  Med Phys       Date:  2006-04       Impact factor: 4.071

2.  Total scatter factors of small beams: a multidetector and Monte Carlo study.

Authors:  Paolo Francescon; Stefania Cora; Carlo Cavedon
Journal:  Med Phys       Date:  2008-02       Impact factor: 4.071

3.  Monte carlo model and output factors of elekta infinity™ 6 and 10 MV photon beam.

Authors:  Sitti Yani; Indra Budiansah; Mohamad Fahdillah Rhani; Freddy Haryanto
Journal:  Rep Pract Oncol Radiother       Date:  2020-04-28

4.  A virtual source model for Monte Carlo simulation of helical tomotherapy.

Authors:  Jiankui Yuan; Yi Rong; Quan Chen
Journal:  J Appl Clin Med Phys       Date:  2015-01-08       Impact factor: 2.102

5.  A single-source photon source model of a linear accelerator for Monte Carlo dose calculation.

Authors:  Obioma Nwankwo; Gerhard Glatting; Frederik Wenz; Jens Fleckenstein
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

6.  Development of a virtual source model for Monte Carlo-based independent dose calculation for varian linac.

Authors:  James R Castle; Jingwei Duan; Xue Feng; Quan Chen
Journal:  J Appl Clin Med Phys       Date:  2022-02-09       Impact factor: 2.243

7.  A phase space model of a Versa HD linear accelerator for application to Monte Carlo dose calculation in a real-time adaptive workflow.

Authors:  James L Bedford; Rahul Nilawar; Simeon Nill; Uwe Oelfke
Journal:  J Appl Clin Med Phys       Date:  2022-06-14       Impact factor: 2.243

8.  A fast jaw-tracking model for VMAT and IMRT Monte Carlo simulations.

Authors:  Reid Townson; Hilary Egglestone; Sergei Zavgorodni
Journal:  J Appl Clin Med Phys       Date:  2018-05-09       Impact factor: 2.102

  8 in total

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