Literature DB >> 12722809

Determining the incident electron fluence for Monte Carlo-based photon treatment planning using a standard measured data set.

Paul J Keall1, Jeffrey V Siebers, Bruce Libby, Radhe Mohan.   

Abstract

An accurate dose calculation in phantom and patient geometries requires an accurate description of the radiation source. Errors in the radiation source description are propagated through the dose calculation. With the emergence of linear accelerators whose dosimetric characteristics are similar to within measurement uncertainty, the same radiation source description can be used as the input to dose calculation for treatment planning at many institutions with the same linear accelerator model. Our goal in the current research was to determine the initial electron fluence above the linear accelerator target for such an accelerator to allow a dose calculation in water to within 1% or 1 mm of the measured data supplied by the manufacturer. The method used for both the radiation source description and the patient transport was Monte Carlo. The linac geometry was input into the Monte Carlo code using the accelerator's manufacturer's specifications. Assumptions about the initial electron source above the target were made based on previous studies. The free parameters derived for the calculations were the mean energy and radial Gaussian width of the initial electron fluence and the target density. A combination of the free parameters yielded an initial electron fluence that, when transported through the linear accelerator and into the phantom, allowed a dose-calculation agreement to the experimental ion chamber data to within the specified criteria at both 6 and 18 MV nominal beam energies, except near the surface, particularly for the 18 MV beam. To save time during Monte Carlo treatment planning, the initial electron fluence was transported through part of the treatment head to a plane between the monitor chambers and the jaws and saved as phase-space files. These files are used for clinical Monte Carlo-based treatment planning and are freely available from the authors.

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Year:  2003        PMID: 12722809     DOI: 10.1118/1.1561623

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


  19 in total

1.  Monte Carlo simulations of electron beams collimated with a dual electron multileaf collimator: a feasibility study.

Authors:  S O Inyang; A C Chamberlain
Journal:  Radiol Phys Technol       Date:  2009-07-04

2.  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

3.  Simulation of large x-ray fields using independently measured source and geometry details.

Authors:  D Sawkey; B A Faddegon
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

4.  Monte Carlo-based adaptive EPID dose kernel accounting for different field size responses of imagers.

Authors:  Song Wang; Joseph K Gardner; John J Gordon; Weidong Li; Luke Clews; Peter B Greer; Jeffrey V Siebers
Journal:  Med Phys       Date:  2009-08       Impact factor: 4.071

5.  Modification and validation of an analytical source model for external beam radiotherapy Monte Carlo dose calculations.

Authors:  Scott E Davidson; Jing Cui; Stephen Kry; Joseph O Deasy; Geoffrey S Ibbott; Milos Vicic; R Allen White; David S Followill
Journal:  Med Phys       Date:  2016-08       Impact factor: 4.071

6.  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

7.  Monte Carlo modeling of a 6 and 18 MV Varian Clinac medical accelerator for in-field and out-of-field dose calculations: development and validation.

Authors:  Bryan Bednarz; X George Xu
Journal:  Phys Med Biol       Date:  2009-01-14       Impact factor: 3.609

8.  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

9.  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

10.  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

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