Literature DB >> 20095275

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

D Sawkey1, B A Faddegon.   

Abstract

PURPOSE: Obtain an accurate simulation of the dose from the 6 and 18 MV x-ray beams from a Siemens Oncor linear accelerator by comparing simulation to measurement. Constrain the simulation by independently determining parameters of the treatment head and incident beam, in particular, the energy and spot size.
METHODS: Measurements were done with the treatment head in three different configurations: (1) The clinical configuration, (2) the flattening filter removed, and (3) the target and flattening filter removed. Parameters of the incident beam and treatment head were measured directly. Incident beam energy and spectral width were determined from the percent-depth ionization of the raw beam (as described previously), spot size was determined using a spot camera, and the densities of the flattening filters were determined by weighing them. Simulations were done with EGSnrc/BEAMnrc code. An asymmetric simulation was used, including offsets of the spot, primary collimator, and flattening filter from the collimator rotation axis.
RESULTS: Agreement between measurement and simulation was obtained to the least restrictive of 1% or 1 mm at 6 MV, both with and without the flattening filter in place, except for the buildup region. At 18 MV, the agreement was 1.5%/1.5 mm with the flattening filter in place and 1%/1 mm with it removed, except for in the buildup region. In the buildup region, the discrepancy was 2%/2 mm at 18 MV and 1.5%/1.5 mm at 6 MV with the flattening filter either removed or in place. The methodology for measuring the source and geometry parameters for the treatment head simulation is described. Except to determine the density of the flattening filter, no physical modification of the treatment head is necessary to obtain those parameters. In particular, the flattening filter does not need to be removed as was done in this work.
CONCLUSIONS: Good agreement between measured and simulated dose distributions was obtained, even in the buildup region. The simulation was tightly constrained by independent measurements of parameters of the incident beam and treatment head. The method of obtaining the input parameters is described, and can be carried out on a clinical linear accelerator.

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Year:  2009        PMID: 20095275      PMCID: PMC2792331          DOI: 10.1118/1.3259729

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


  24 in total

1.  Accurate condensed history Monte Carlo simulation of electron transport. I. EGSnrc, the new EGS4 version.

Authors:  I Kawrakow
Journal:  Med Phys       Date:  2000-03       Impact factor: 4.071

2.  Monte Carlo calculation of nine megavoltage photon beam spectra using the BEAM code.

Authors:  Daryoush Sheikh-Bagheri; D W O Rogers
Journal:  Med Phys       Date:  2002-03       Impact factor: 4.071

3.  Sensitivity of megavoltage photon beam Monte Carlo simulations to electron beam and other parameters.

Authors:  Daryoush Sheikh-Bagheri; D W O Rogers
Journal:  Med Phys       Date:  2002-03       Impact factor: 4.071

4.  Description and dosimetric verification of the PEREGRINE Monte Carlo dose calculation system for photon beams incident on a water phantom.

Authors:  C L Hartmann Siantar; R S Walling; T P Daly; B Faddegon; N Albright; P Bergstrom; A F Bielajew; C Chuang; D Garrett; R K House; D Knapp; D J Wieczorek; L J Verhey
Journal:  Med Phys       Date:  2001-07       Impact factor: 4.071

5.  Dose discrepancies between Monte Carlo calculations and measurements in the buildup region for a high-energy photon beam.

Authors:  George X Ding
Journal:  Med Phys       Date:  2002-11       Impact factor: 4.071

Review 6.  Monte Carlo modelling of external radiotherapy photon beams.

Authors:  Frank Verhaegen; Jan Seuntjens
Journal:  Phys Med Biol       Date:  2003-11-07       Impact factor: 3.609

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

Authors:  Paul J Keall; Jeffrey V Siebers; Bruce Libby; Radhe Mohan
Journal:  Med Phys       Date:  2003-04       Impact factor: 4.071

8.  Comparison of beam characteristics of a gold x-ray target and a tungsten replacement target.

Authors:  B Faddegon; B Egley; T Steinberg
Journal:  Med Phys       Date:  2004-01       Impact factor: 4.071

9.  Analysis of dose perturbation factors of a NACP-02 ionization chamber in clinical electron beams.

Authors:  E Chin; H Palmans; D Shipley; M Bailey; F Verhaegen
Journal:  Phys Med Biol       Date:  2008-12-19       Impact factor: 3.609

10.  Evaluation of a beam-spot camera for megavoltage x rays.

Authors:  W R Lutz; N Maleki; B E Bjärngard
Journal:  Med Phys       Date:  1988 Jul-Aug       Impact factor: 4.071

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  5 in total

1.  Multisource modeling of flattening filter free (FFF) beam and the optimization of model parameters.

Authors:  Woong Cho; Kayla N Kielar; Ed Mok; Lei Xing; Jeong-Hoon Park; Won-Gyun Jung; Tae-Suk Suh
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

2.  A framework for implementation of organ effect models in TOPAS with benchmarks extended to proton therapy.

Authors:  J Ramos-Méndez; J Perl; J Schümann; J Shin; H Paganetti; B Faddegon
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

3.  Monte Carlo Simulation of Siemens ONCOR Linear Accelerator with BEAMnrc and DOSXYZnrc Code.

Authors:  Keyvan Jabbari; Hossein Saberi Anvar; Mohammad Bagher Tavakoli; Alireza Amouheidari
Journal:  J Med Signals Sens       Date:  2013-07

4.  Sensitivity analysis of an asymmetric Monte Carlo beam model of a Siemens Primus accelerator.

Authors:  Eric C Schreiber; Daren L Sawkey; Bruce A Faddegon
Journal:  J Appl Clin Med Phys       Date:  2012-03-08       Impact factor: 2.102

5.  LET-Dependent Intertrack Yields in Proton Irradiation at Ultra-High Dose Rates Relevant for FLASH Therapy.

Authors:  J Ramos-Méndez; N Domínguez-Kondo; J Schuemann; A McNamara; E Moreno-Barbosa; Bruce Faddegon
Journal:  Radiat Res       Date:  2020-10-02       Impact factor: 2.841

  5 in total

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