Optimization of deterministic transport parameters for the calculation of the dose distribution around a high dose-rate {sup 192}Ir brachytherapy source

The goal of this work was to calculate the dose distribution around a high dose-rate {sup 192}Ir brachytherapy source using a multi-group discrete ordinates code and then to compare the results with a Monte Carlo calculated dose distribution. The unstructured tetrahedral mesh discrete ordinates code...

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Veröffentlicht in:Medical physics (Lancaster) 2008-06, Vol.35 (6)
Hauptverfasser: Gifford, Kent A., Price, Michael J., Horton, John L. Jr, Wareing, Todd A., Mourtada, Firas, Transpire, Inc., Gig Harbor, Washington 98335, Departments of Radiation Physics and Diagnostic Imaging, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030
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container_issue 6
container_start_page
container_title Medical physics (Lancaster)
container_volume 35
creator Gifford, Kent A.
Price, Michael J.
Horton, John L. Jr
Wareing, Todd A.
Mourtada, Firas
Transpire, Inc., Gig Harbor, Washington 98335
Departments of Radiation Physics and Diagnostic Imaging, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030
description The goal of this work was to calculate the dose distribution around a high dose-rate {sup 192}Ir brachytherapy source using a multi-group discrete ordinates code and then to compare the results with a Monte Carlo calculated dose distribution. The unstructured tetrahedral mesh discrete ordinates code Attila version 6.1.1 was used to calculate the photon kerma rate distribution in water around the Nucletron microSelectron mHDRv2 source. MCNPX 2.5.c was used to compute the Monte Carlo water photon kerma rate distribution. Two hundred million histories were simulated, resulting in standard errors of the mean of less than 3% overall. The number of energy groups, S{sub n} (angular order), P{sub n} (scattering order), and mesh elements were varied in addition to the method of analytic ray tracing to assess their effects on the deterministic solution. Water photon kerma rate matrices were exported from both codes into an in-house data analysis software. This software quantified the percent dose difference distribution, the number of points within {+-}3% and {+-}5%, and the mean percent difference between the two codes. The data demonstrated that a 5 energy-group cross-section set calculated results to within 0.5% of a 15 group cross-section set. S{sub 12} was sufficient to resolve the solution in angle. P{sub 2} expansion of the scattering cross-section was necessary to compute accurate distributions. A computational mesh with 55 064 tetrahedral elements in a 30 cm diameter phantom resolved the solution spatially. An efficiency factor of 110 with the above parameters was realized in comparison to MC methods. The Attila code provided an accurate and efficient solution of the Boltzmann transport equation for the mHDRv2 source.
doi_str_mv 10.1118/1.2919074
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A computational mesh with 55 064 tetrahedral elements in a 30 cm diameter phantom resolved the solution spatially. An efficiency factor of 110 with the above parameters was realized in comparison to MC methods. 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The unstructured tetrahedral mesh discrete ordinates code Attila version 6.1.1 was used to calculate the photon kerma rate distribution in water around the Nucletron microSelectron mHDRv2 source. MCNPX 2.5.c was used to compute the Monte Carlo water photon kerma rate distribution. Two hundred million histories were simulated, resulting in standard errors of the mean of less than 3% overall. The number of energy groups, S{sub n} (angular order), P{sub n} (scattering order), and mesh elements were varied in addition to the method of analytic ray tracing to assess their effects on the deterministic solution. Water photon kerma rate matrices were exported from both codes into an in-house data analysis software. This software quantified the percent dose difference distribution, the number of points within {+-}3% and {+-}5%, and the mean percent difference between the two codes. 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Jr</au><au>Wareing, Todd A.</au><au>Mourtada, Firas</au><au>Transpire, Inc., Gig Harbor, Washington 98335</au><au>Departments of Radiation Physics and Diagnostic Imaging, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of deterministic transport parameters for the calculation of the dose distribution around a high dose-rate {sup 192}Ir brachytherapy source</atitle><jtitle>Medical physics (Lancaster)</jtitle><date>2008-06-15</date><risdate>2008</risdate><volume>35</volume><issue>6</issue><issn>0094-2405</issn><eissn>2473-4209</eissn><abstract>The goal of this work was to calculate the dose distribution around a high dose-rate {sup 192}Ir brachytherapy source using a multi-group discrete ordinates code and then to compare the results with a Monte Carlo calculated dose distribution. 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source Wiley Online Library All Journals; Alma/SFX Local Collection
subjects BOLTZMANN EQUATION
BRACHYTHERAPY
COMPUTER CODES
COMPUTERIZED SIMULATION
CROSS SECTIONS
DISCRETE ORDINATE METHOD
DOSE RATES
DOSIMETRY
IRIDIUM 192
KERMA
MONTE CARLO METHOD
OPTIMIZATION
PHANTOMS
RADIATION DOSE DISTRIBUTIONS
RADIATION DOSES
RADIATION PROTECTION AND DOSIMETRY
title Optimization of deterministic transport parameters for the calculation of the dose distribution around a high dose-rate {sup 192}Ir brachytherapy source
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