Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Radiologia Brasileira (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842015000600006 |
Resumo: | Abstract Objective: Derive filtered tungsten X-ray spectra used in digital mammography systems by means of Monte Carlo simulations. Materials and Methods: Filtered spectra for rhodium filter were obtained for tube potentials between 26 and 32 kV. The half-value layer (HVL) of simulated filtered spectra were compared with those obtained experimentally with a solid state detector Unfors model 8202031-H Xi R/F & MAM Detector Platinum and 8201023-C Xi Base unit Platinum Plus w mAs in a Hologic Selenia Dimensions system using a direct radiography mode. Results: Calculated HVL values showed good agreement as compared with those obtained experimentally. The greatest relative difference between the Monte Carlo calculated HVL values and experimental HVL values was 4%. Conclusion: The results show that the filtered tungsten anode X-ray spectra and the EGSnrc Monte Carlo code can be used for mean glandular dose determination in mammography. |
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Radiologia Brasileira (Online) |
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Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammographyMammographyX-ray spectraHVLMonte CarloAbstract Objective: Derive filtered tungsten X-ray spectra used in digital mammography systems by means of Monte Carlo simulations. Materials and Methods: Filtered spectra for rhodium filter were obtained for tube potentials between 26 and 32 kV. The half-value layer (HVL) of simulated filtered spectra were compared with those obtained experimentally with a solid state detector Unfors model 8202031-H Xi R/F & MAM Detector Platinum and 8201023-C Xi Base unit Platinum Plus w mAs in a Hologic Selenia Dimensions system using a direct radiography mode. Results: Calculated HVL values showed good agreement as compared with those obtained experimentally. The greatest relative difference between the Monte Carlo calculated HVL values and experimental HVL values was 4%. Conclusion: The results show that the filtered tungsten anode X-ray spectra and the EGSnrc Monte Carlo code can be used for mean glandular dose determination in mammography.Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem2015-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842015000600006Radiologia Brasileira v.48 n.6 2015reponame:Radiologia Brasileira (Online)instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)instacron:CBR10.1590/0100-3984.2014.0108info:eu-repo/semantics/openAccessPaixão,LucasOliveira,Bruno BeraldoViloria,CarolinaOliveira,Marcio Alves deTeixeira,Maria Helena AraújoNogueira,Maria do Socorroeng2016-01-22T00:00:00Zoai:scielo:S0100-39842015000600006Revistahttps://www.scielo.br/j/rb/https://old.scielo.br/oai/scielo-oai.phpradiologiabrasileira@cbr.org.br1678-70990100-3984opendoar:2016-01-22T00:00Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)false |
dc.title.none.fl_str_mv |
Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography |
title |
Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography |
spellingShingle |
Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography Paixão,Lucas Mammography X-ray spectra HVL Monte Carlo |
title_short |
Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography |
title_full |
Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography |
title_fullStr |
Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography |
title_full_unstemmed |
Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography |
title_sort |
Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography |
author |
Paixão,Lucas |
author_facet |
Paixão,Lucas Oliveira,Bruno Beraldo Viloria,Carolina Oliveira,Marcio Alves de Teixeira,Maria Helena Araújo Nogueira,Maria do Socorro |
author_role |
author |
author2 |
Oliveira,Bruno Beraldo Viloria,Carolina Oliveira,Marcio Alves de Teixeira,Maria Helena Araújo Nogueira,Maria do Socorro |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Paixão,Lucas Oliveira,Bruno Beraldo Viloria,Carolina Oliveira,Marcio Alves de Teixeira,Maria Helena Araújo Nogueira,Maria do Socorro |
dc.subject.por.fl_str_mv |
Mammography X-ray spectra HVL Monte Carlo |
topic |
Mammography X-ray spectra HVL Monte Carlo |
description |
Abstract Objective: Derive filtered tungsten X-ray spectra used in digital mammography systems by means of Monte Carlo simulations. Materials and Methods: Filtered spectra for rhodium filter were obtained for tube potentials between 26 and 32 kV. The half-value layer (HVL) of simulated filtered spectra were compared with those obtained experimentally with a solid state detector Unfors model 8202031-H Xi R/F & MAM Detector Platinum and 8201023-C Xi Base unit Platinum Plus w mAs in a Hologic Selenia Dimensions system using a direct radiography mode. Results: Calculated HVL values showed good agreement as compared with those obtained experimentally. The greatest relative difference between the Monte Carlo calculated HVL values and experimental HVL values was 4%. Conclusion: The results show that the filtered tungsten anode X-ray spectra and the EGSnrc Monte Carlo code can be used for mean glandular dose determination in mammography. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842015000600006 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842015000600006 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0100-3984.2014.0108 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
publisher.none.fl_str_mv |
Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
dc.source.none.fl_str_mv |
Radiologia Brasileira v.48 n.6 2015 reponame:Radiologia Brasileira (Online) instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR) instacron:CBR |
instname_str |
Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR) |
instacron_str |
CBR |
institution |
CBR |
reponame_str |
Radiologia Brasileira (Online) |
collection |
Radiologia Brasileira (Online) |
repository.name.fl_str_mv |
Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR) |
repository.mail.fl_str_mv |
radiologiabrasileira@cbr.org.br |
_version_ |
1754208938929160192 |