Literature DB >> 19926911

A virtual source model of electron contamination of a therapeutic photon beam.

M Sikora1, M Alber.   

Abstract

The most efficient way of generating particles for Monte Carlo (MC) dose calculation is through a virtual source model (VSM) of the linear accelerator head. We have previously developed a VSM based on three sources: a primary photon source, a secondary photon source and an electron contamination source (Sikora et al 2007). In this work, we present an improvement of the electron contamination source. The VSM of contamination electrons (eVSM) is derived from a full MC simulation of the accelerator head with the BEAMnrc MC system. It comprises a Gaussian source located at the base of the flattening filter. The eVSM models two effects: an energy-dependent source diameter and an angular dependence of the particle fluence. The air scatter of the contamination electrons is approximated by energetic properties of the eVSM so that explicit in-air transport is not required during MC simulation of the dose distributions in the patient. The calculations of electron dose distributions were compared between the eVSM and the full MC simulation. Good agreement was achieved for various rectangular field sizes as well as for complex conformal segment shapes for the contamination electrons of 6 and 15 MV beams. The 3D dose evaluation of the surface dose in a CT-based patient geometry shows high accuracy (2%/2 mm) of the eVSM for both energies. The model has one tunable parameter, the mean energy of the spectrum at the patient surface. High accuracy and efficiency of particle generation make the eVSM a valuable virtual source of contamination electrons for MC treatment planning systems.

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Year:  2009        PMID: 19926911     DOI: 10.1088/0031-9155/54/24/006

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


  9 in total

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2.  Spatial Mesh-Based Surface Source Model for the Electron Contamination of an 18 MV Photon Beams.

Authors:  Ahad Ollah Ezzati; Matthew T Studenski; Masuomeh Gohari
Journal:  J Med Phys       Date:  2021-02-02

3.  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

4.  Agility MLC transmission optimization in the Monaco treatment planning system.

Authors:  Michael Roche; Robert Crane; Marcus Powers; Timothy Crabtree
Journal:  J Appl Clin Med Phys       Date:  2018-06-30       Impact factor: 2.102

5.  Validation of a secondary dose check tool against Monte Carlo and analytical clinical dose calculation algorithms in VMAT.

Authors:  Stefano Piffer; Marta Casati; Livia Marrazzo; Chiara Arilli; Silvia Calusi; Isacco Desideri; Franco Fusi; Stefania Pallotta; Cinzia Talamonti
Journal:  J Appl Clin Med Phys       Date:  2021-03-18       Impact factor: 2.102

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.  Evaluation of 4-Hz log files and secondary Monte Carlo dose calculation as patient-specific quality assurance for VMAT prostate plans.

Authors:  Philipp Szeverinski; Matthias Kowatsch; Thomas Künzler; Marco Meinschad; Patrick Clemens; Alexander F DeVries
Journal:  J Appl Clin Med Phys       Date:  2021-06-20       Impact factor: 2.102

8.  Determination of MLC model parameters for Monaco using commercial diode arrays.

Authors:  Paul Kinsella; Laura Shields; Patrick McCavana; Brendan McClean; Brian Langan
Journal:  J Appl Clin Med Phys       Date:  2016-07-08       Impact factor: 2.102

9.  Correlation between the γ passing rates of IMRT plans and the volumes of air cavities and bony structures in head and neck cancer.

Authors:  Zhengwen Shen; Xia Tan; Shi Li; Xiumei Tian; Huanli Luo; Ying Wang; Fu Jin
Journal:  Radiat Oncol       Date:  2021-07-21       Impact factor: 3.481

  9 in total

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