Optimization of OSEM parameters in myocardial perfusion imaging reconstruction as a function of body mass index: a clinical approach

Detalhes bibliográficos
Autor(a) principal: Barros, Pietro Paolo de
Data de Publicação: 2015
Outros Autores: Metello, Luis F., Camozzato, Tatiane Sabriela Cagol, Vieira, Domingos
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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spelling 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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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