Optimization of OSEM parameters in myocardial perfusion imaging reconstruction as a function of body mass index: a clinical approach
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/13934 |
Resumo: | Objective The present study is aimed at contributing to identify the most appropriate OSEM parameters to generate myocardial perfusion imaging reconstructions with the best diagnostic quality, correlating them with patients’ body mass index. Materials and Methods The present study included 28 adult patients submitted to myocardial perfusion imaging in a public hospital. The OSEM method was utilized in the images reconstruction with six different combinations of iterations and subsets numbers. The images were analyzed by nuclear cardiology specialists taking their diagnostic value into consideration and indicating the most appropriate images in terms of diagnostic quality. Results An overall scoring analysis demonstrated that the combination of four iterations and four subsets has generated the most appropriate images in terms of diagnostic quality for all the classes of body mass index; however, the role played by the combination of six iterations and four subsets is highlighted in relation to the higher body mass index classes. Conclusion The use of optimized parameters seems to play a relevant role in the generation of images with better diagnostic quality, ensuring the diagnosis and consequential appropriate and effective treatment for the patient. |
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Optimization of OSEM parameters in myocardial perfusion imaging reconstruction as a function of body mass index: a clinical approachNuclear cardiologyMyocardial perfusion imagingIterative methodsImage reconstructionNuclear medicineObjective The present study is aimed at contributing to identify the most appropriate OSEM parameters to generate myocardial perfusion imaging reconstructions with the best diagnostic quality, correlating them with patients’ body mass index. Materials and Methods The present study included 28 adult patients submitted to myocardial perfusion imaging in a public hospital. The OSEM method was utilized in the images reconstruction with six different combinations of iterations and subsets numbers. The images were analyzed by nuclear cardiology specialists taking their diagnostic value into consideration and indicating the most appropriate images in terms of diagnostic quality. Results An overall scoring analysis demonstrated that the combination of four iterations and four subsets has generated the most appropriate images in terms of diagnostic quality for all the classes of body mass index; however, the role played by the combination of six iterations and four subsets is highlighted in relation to the higher body mass index classes. Conclusion The use of optimized parameters seems to play a relevant role in the generation of images with better diagnostic quality, ensuring the diagnosis and consequential appropriate and effective treatment for the patient.Colégio Brasileiro de Radiologia e Diagnóstico por ImagemRepositório Científico do Instituto Politécnico do PortoBarros, Pietro Paolo deMetello, Luis F.Camozzato, Tatiane Sabriela CagolVieira, Domingos2019-06-07T14:59:58Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/13934por10.1590/0100-3984.2014.0084info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:56:21Zoai:recipp.ipp.pt:10400.22/13934Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:33:47.563450Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Optimization of OSEM parameters in myocardial perfusion imaging reconstruction as a function of body mass index: a clinical approach |
title |
Optimization of OSEM parameters in myocardial perfusion imaging reconstruction as a function of body mass index: a clinical approach |
spellingShingle |
Optimization of OSEM parameters in myocardial perfusion imaging reconstruction as a function of body mass index: a clinical approach Barros, Pietro Paolo de Nuclear cardiology Myocardial perfusion imaging Iterative methods Image reconstruction Nuclear medicine |
title_short |
Optimization of OSEM parameters in myocardial perfusion imaging reconstruction as a function of body mass index: a clinical approach |
title_full |
Optimization of OSEM parameters in myocardial perfusion imaging reconstruction as a function of body mass index: a clinical approach |
title_fullStr |
Optimization of OSEM parameters in myocardial perfusion imaging reconstruction as a function of body mass index: a clinical approach |
title_full_unstemmed |
Optimization of OSEM parameters in myocardial perfusion imaging reconstruction as a function of body mass index: a clinical approach |
title_sort |
Optimization of OSEM parameters in myocardial perfusion imaging reconstruction as a function of body mass index: a clinical approach |
author |
Barros, Pietro Paolo de |
author_facet |
Barros, Pietro Paolo de Metello, Luis F. Camozzato, Tatiane Sabriela Cagol Vieira, Domingos |
author_role |
author |
author2 |
Metello, Luis F. Camozzato, Tatiane Sabriela Cagol Vieira, Domingos |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Barros, Pietro Paolo de Metello, Luis F. Camozzato, Tatiane Sabriela Cagol Vieira, Domingos |
dc.subject.por.fl_str_mv |
Nuclear cardiology Myocardial perfusion imaging Iterative methods Image reconstruction Nuclear medicine |
topic |
Nuclear cardiology Myocardial perfusion imaging Iterative methods Image reconstruction Nuclear medicine |
description |
Objective The present study is aimed at contributing to identify the most appropriate OSEM parameters to generate myocardial perfusion imaging reconstructions with the best diagnostic quality, correlating them with patients’ body mass index. Materials and Methods The present study included 28 adult patients submitted to myocardial perfusion imaging in a public hospital. The OSEM method was utilized in the images reconstruction with six different combinations of iterations and subsets numbers. The images were analyzed by nuclear cardiology specialists taking their diagnostic value into consideration and indicating the most appropriate images in terms of diagnostic quality. Results An overall scoring analysis demonstrated that the combination of four iterations and four subsets has generated the most appropriate images in terms of diagnostic quality for all the classes of body mass index; however, the role played by the combination of six iterations and four subsets is highlighted in relation to the higher body mass index classes. Conclusion The use of optimized parameters seems to play a relevant role in the generation of images with better diagnostic quality, ensuring the diagnosis and consequential appropriate and effective treatment for the patient. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 2015-01-01T00:00:00Z 2019-06-07T14:59:58Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/13934 |
url |
http://hdl.handle.net/10400.22/13934 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
10.1590/0100-3984.2014.0084 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
publisher.none.fl_str_mv |
Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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