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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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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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</creator><creatorcontrib>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</creatorcontrib><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.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.2919074</identifier><language>eng</language><publisher>United States</publisher><subject>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</subject><ispartof>Medical physics (Lancaster), 2008-06, Vol.35 (6)</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/21120746$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Gifford, Kent A.</creatorcontrib><creatorcontrib>Price, Michael J.</creatorcontrib><creatorcontrib>Horton, John L. Jr</creatorcontrib><creatorcontrib>Wareing, Todd A.</creatorcontrib><creatorcontrib>Mourtada, Firas</creatorcontrib><creatorcontrib>Transpire, Inc., Gig Harbor, Washington 98335</creatorcontrib><creatorcontrib>Departments of Radiation Physics and Diagnostic Imaging, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030</creatorcontrib><title>Optimization of deterministic transport parameters for the calculation of the dose distribution around a high dose-rate {sup 192}Ir brachytherapy source</title><title>Medical physics (Lancaster)</title><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.</description><subject>BOLTZMANN EQUATION</subject><subject>BRACHYTHERAPY</subject><subject>COMPUTER CODES</subject><subject>COMPUTERIZED SIMULATION</subject><subject>CROSS SECTIONS</subject><subject>DISCRETE ORDINATE METHOD</subject><subject>DOSE RATES</subject><subject>DOSIMETRY</subject><subject>IRIDIUM 192</subject><subject>KERMA</subject><subject>MONTE CARLO METHOD</subject><subject>OPTIMIZATION</subject><subject>PHANTOMS</subject><subject>RADIATION DOSE DISTRIBUTIONS</subject><subject>RADIATION DOSES</subject><subject>RADIATION PROTECTION AND DOSIMETRY</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqNj01LAzEQhoMouH4c_AcDnrcm2bQ1Z1H01Iv3Ms1mTWQ3CZPkUMX_4c91W8Szl3lhnnngHcZuBF8IIe7vxEJqoflanbBGqnXXKsn1KWs416qVii_P2UXO75zzVbfkDfvepOIn_4HFxwBxgN4WS5MPPhdvoBCGnCIVSEg4HViGIRIUZ8HgaOr4Zx5WfczzmF3yu3oESLGGHhCcf3NH3hIWC5-5JhBafr0Q7AiN288-YdpDjpWMvWJnA47ZXv_mJbt9enx9eG7jXGybjS_WOBNDsKZspRBy_nnV_e_qBx7eX-Q</recordid><startdate>20080615</startdate><enddate>20080615</enddate><creator>Gifford, Kent A.</creator><creator>Price, Michael J.</creator><creator>Horton, John L. Jr</creator><creator>Wareing, Todd A.</creator><creator>Mourtada, Firas</creator><creator>Transpire, Inc., Gig Harbor, Washington 98335</creator><creator>Departments of Radiation Physics and Diagnostic Imaging, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030</creator><scope>OTOTI</scope></search><sort><creationdate>20080615</creationdate><title>Optimization of deterministic transport parameters for the calculation of the dose distribution around a high dose-rate {sup 192}Ir brachytherapy source</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-osti_scitechconnect_211207463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>BOLTZMANN EQUATION</topic><topic>BRACHYTHERAPY</topic><topic>COMPUTER CODES</topic><topic>COMPUTERIZED SIMULATION</topic><topic>CROSS SECTIONS</topic><topic>DISCRETE ORDINATE METHOD</topic><topic>DOSE RATES</topic><topic>DOSIMETRY</topic><topic>IRIDIUM 192</topic><topic>KERMA</topic><topic>MONTE CARLO METHOD</topic><topic>OPTIMIZATION</topic><topic>PHANTOMS</topic><topic>RADIATION DOSE DISTRIBUTIONS</topic><topic>RADIATION DOSES</topic><topic>RADIATION PROTECTION AND DOSIMETRY</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gifford, Kent A.</creatorcontrib><creatorcontrib>Price, Michael J.</creatorcontrib><creatorcontrib>Horton, John L. Jr</creatorcontrib><creatorcontrib>Wareing, Todd A.</creatorcontrib><creatorcontrib>Mourtada, Firas</creatorcontrib><creatorcontrib>Transpire, Inc., Gig Harbor, Washington 98335</creatorcontrib><creatorcontrib>Departments of Radiation Physics and Diagnostic Imaging, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030</creatorcontrib><collection>OSTI.GOV</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gifford, Kent A.</au><au>Price, Michael J.</au><au>Horton, John L. 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. 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.</abstract><cop>United States</cop><doi>10.1118/1.2919074</doi></addata></record> |
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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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