Impact evaluation of the geometry on measurements of solid radioactive waste exposure rates in nuclear medicine

Detalhes bibliográficos
Autor(a) principal: Brambilla,Cláudia Régio
Data de Publicação: 2014
Outros Autores: Hoff,Gabriela
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Biomédica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512014000400006
Resumo: INTRODUCTION: The objective of this paper is to verify the influence of the source geometry on Geiger Müller (GM) exposure rate data. This paper presents a validation of an application based on Monte Carlo (MC) data simulated using Geant4, based on a comparison of the exposure rates calculated via MC and Deterministic Calculations (DC) to experimental (measured) exposure rates. METHODS: Experimental data that were collected through measurements of standard sources were used for MC and DC validation. In addition, the best method of analyzing the impact of the real source geometry on calculations of a descarpack box of radioactive waste was verified. Furthermore, were estimated the exposure rates from a homogeneous solid waste box (used at clinical sites) and from a point source. These results were compared to confirm possible discrepancies related to source geometry in exposure rates collected using a GM detector. RESULTS: The investigated estimation methods were statistically compared; the MC presented higher agreement with the experimental data than did the deterministic calculations. The impact of considering a point source instead of the real geometry (descarpack box) was an underestimation of between 20% and 70%, depending on the source - detector distance and the isotope evaluated. CONCLUSION: The DC always presented a higher difference with respect to the experimental data than did the MC calculation. The use of realistic geometry proved to exert a significant impact on the exposure rate data for solid radioactive waste compared with the exposure rate induced by a point source; the exposure rate estimation obtained using the real geometry was always at least 16% higher than the estimation obtained for a point source, and some differences greater than 50% were found.
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spelling Impact evaluation of the geometry on measurements of solid radioactive waste exposure rates in nuclear medicineRadioactive solid wasteNuclear medicineExposure rateMonte Carlo simulationsINTRODUCTION: The objective of this paper is to verify the influence of the source geometry on Geiger Müller (GM) exposure rate data. This paper presents a validation of an application based on Monte Carlo (MC) data simulated using Geant4, based on a comparison of the exposure rates calculated via MC and Deterministic Calculations (DC) to experimental (measured) exposure rates. METHODS: Experimental data that were collected through measurements of standard sources were used for MC and DC validation. In addition, the best method of analyzing the impact of the real source geometry on calculations of a descarpack box of radioactive waste was verified. Furthermore, were estimated the exposure rates from a homogeneous solid waste box (used at clinical sites) and from a point source. These results were compared to confirm possible discrepancies related to source geometry in exposure rates collected using a GM detector. RESULTS: The investigated estimation methods were statistically compared; the MC presented higher agreement with the experimental data than did the deterministic calculations. The impact of considering a point source instead of the real geometry (descarpack box) was an underestimation of between 20% and 70%, depending on the source - detector distance and the isotope evaluated. CONCLUSION: The DC always presented a higher difference with respect to the experimental data than did the MC calculation. The use of realistic geometry proved to exert a significant impact on the exposure rate data for solid radioactive waste compared with the exposure rate induced by a point source; the exposure rate estimation obtained using the real geometry was always at least 16% higher than the estimation obtained for a point source, and some differences greater than 50% were found.SBEB - Sociedade Brasileira de Engenharia Biomédica2014-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512014000400006Revista Brasileira de Engenharia Biomédica v.30 n.4 2014reponame:Revista Brasileira de Engenharia Biomédica (Online)instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)instacron:SBEB10.1590/1517-3151.0501info:eu-repo/semantics/openAccessBrambilla,Cláudia RégioHoff,Gabrielaeng2015-01-15T00:00:00Zoai:scielo:S1517-31512014000400006Revistahttp://www.scielo.br/rbebONGhttps://old.scielo.br/oai/scielo-oai.php||rbeb@rbeb.org.br1984-77421517-3151opendoar:2015-01-15T00:00Revista Brasileira de Engenharia Biomédica (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)false
dc.title.none.fl_str_mv Impact evaluation of the geometry on measurements of solid radioactive waste exposure rates in nuclear medicine
title Impact evaluation of the geometry on measurements of solid radioactive waste exposure rates in nuclear medicine
spellingShingle Impact evaluation of the geometry on measurements of solid radioactive waste exposure rates in nuclear medicine
Brambilla,Cláudia Régio
Radioactive solid waste
Nuclear medicine
Exposure rate
Monte Carlo simulations
title_short Impact evaluation of the geometry on measurements of solid radioactive waste exposure rates in nuclear medicine
title_full Impact evaluation of the geometry on measurements of solid radioactive waste exposure rates in nuclear medicine
title_fullStr Impact evaluation of the geometry on measurements of solid radioactive waste exposure rates in nuclear medicine
title_full_unstemmed Impact evaluation of the geometry on measurements of solid radioactive waste exposure rates in nuclear medicine
title_sort Impact evaluation of the geometry on measurements of solid radioactive waste exposure rates in nuclear medicine
author Brambilla,Cláudia Régio
author_facet Brambilla,Cláudia Régio
Hoff,Gabriela
author_role author
author2 Hoff,Gabriela
author2_role author
dc.contributor.author.fl_str_mv Brambilla,Cláudia Régio
Hoff,Gabriela
dc.subject.por.fl_str_mv Radioactive solid waste
Nuclear medicine
Exposure rate
Monte Carlo simulations
topic Radioactive solid waste
Nuclear medicine
Exposure rate
Monte Carlo simulations
description INTRODUCTION: The objective of this paper is to verify the influence of the source geometry on Geiger Müller (GM) exposure rate data. This paper presents a validation of an application based on Monte Carlo (MC) data simulated using Geant4, based on a comparison of the exposure rates calculated via MC and Deterministic Calculations (DC) to experimental (measured) exposure rates. METHODS: Experimental data that were collected through measurements of standard sources were used for MC and DC validation. In addition, the best method of analyzing the impact of the real source geometry on calculations of a descarpack box of radioactive waste was verified. Furthermore, were estimated the exposure rates from a homogeneous solid waste box (used at clinical sites) and from a point source. These results were compared to confirm possible discrepancies related to source geometry in exposure rates collected using a GM detector. RESULTS: The investigated estimation methods were statistically compared; the MC presented higher agreement with the experimental data than did the deterministic calculations. The impact of considering a point source instead of the real geometry (descarpack box) was an underestimation of between 20% and 70%, depending on the source - detector distance and the isotope evaluated. CONCLUSION: The DC always presented a higher difference with respect to the experimental data than did the MC calculation. The use of realistic geometry proved to exert a significant impact on the exposure rate data for solid radioactive waste compared with the exposure rate induced by a point source; the exposure rate estimation obtained using the real geometry was always at least 16% higher than the estimation obtained for a point source, and some differences greater than 50% were found.
publishDate 2014
dc.date.none.fl_str_mv 2014-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512014000400006
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1517-3151.0501
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dc.publisher.none.fl_str_mv SBEB - Sociedade Brasileira de Engenharia Biomédica
publisher.none.fl_str_mv SBEB - Sociedade Brasileira de Engenharia Biomédica
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Biomédica v.30 n.4 2014
reponame:Revista Brasileira de Engenharia Biomédica (Online)
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