Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/7176 |
Resumo: | Our aim was to characterize the influence of time-of-flight (TOF) and point spread function (PSF) recovery corrections, as well as ordered subset expectation maximization (OSEM) reconstruction parameters, in (82)Rb PET/CT quantification of myocardial blood flow (MBF) and myocardial flow reserve (MFR). Rest and stress list-mode dynamic (82)Rb PET acquisition data from 10 patients without myocardial flow defects and 10 patients with myocardial blood flow defects were reconstructed retrospectively. OSEM reconstructions were performed with Gaussian filters of 4, 6, and 8 mm, different iterations, and subset numbers (2 × 24; 2 × 16; 3 × 16; 4 × 16). Rest and stress global, regional, and segmental MBF and MFR were computed from time activity curves with FlowQuant(©) software. Left ventricular segmentation using the 17-segment American Heart Association model was obtained. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parametersRb-82Myocardial blood flowMyocardial flow reserveCardiac PET/CT reconstructionOur aim was to characterize the influence of time-of-flight (TOF) and point spread function (PSF) recovery corrections, as well as ordered subset expectation maximization (OSEM) reconstruction parameters, in (82)Rb PET/CT quantification of myocardial blood flow (MBF) and myocardial flow reserve (MFR). Rest and stress list-mode dynamic (82)Rb PET acquisition data from 10 patients without myocardial flow defects and 10 patients with myocardial blood flow defects were reconstructed retrospectively. OSEM reconstructions were performed with Gaussian filters of 4, 6, and 8 mm, different iterations, and subset numbers (2 × 24; 2 × 16; 3 × 16; 4 × 16). Rest and stress global, regional, and segmental MBF and MFR were computed from time activity curves with FlowQuant(©) software. Left ventricular segmentation using the 17-segment American Heart Association model was obtained.SpringerOpenRCIPLChilra, P.Gnesin, S.Allenbach, G.Monteiro, M.Prior, J. O.Vieira, LinaPires Jorge, J. A.2017-06-08T14:08:47Z2017-022017-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/7176engChilra P, Gnesin S, Allenbach G, Monteiro M, Prior JO, Vieira L, et al. Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters. EJNMMI Phys. 2017;4(1):1010.1186/s40658-017-0178-3info: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:RCAAP2023-08-03T09:52:54Zoai:repositorio.ipl.pt:10400.21/7176Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:16:10.847891Repositório 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 |
Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
title |
Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
spellingShingle |
Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters Chilra, P. Rb-82 Myocardial blood flow Myocardial flow reserve Cardiac PET/CT reconstruction |
title_short |
Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
title_full |
Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
title_fullStr |
Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
title_full_unstemmed |
Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
title_sort |
Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters |
author |
Chilra, P. |
author_facet |
Chilra, P. Gnesin, S. Allenbach, G. Monteiro, M. Prior, J. O. Vieira, Lina Pires Jorge, J. A. |
author_role |
author |
author2 |
Gnesin, S. Allenbach, G. Monteiro, M. Prior, J. O. Vieira, Lina Pires Jorge, J. A. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Chilra, P. Gnesin, S. Allenbach, G. Monteiro, M. Prior, J. O. Vieira, Lina Pires Jorge, J. A. |
dc.subject.por.fl_str_mv |
Rb-82 Myocardial blood flow Myocardial flow reserve Cardiac PET/CT reconstruction |
topic |
Rb-82 Myocardial blood flow Myocardial flow reserve Cardiac PET/CT reconstruction |
description |
Our aim was to characterize the influence of time-of-flight (TOF) and point spread function (PSF) recovery corrections, as well as ordered subset expectation maximization (OSEM) reconstruction parameters, in (82)Rb PET/CT quantification of myocardial blood flow (MBF) and myocardial flow reserve (MFR). Rest and stress list-mode dynamic (82)Rb PET acquisition data from 10 patients without myocardial flow defects and 10 patients with myocardial blood flow defects were reconstructed retrospectively. OSEM reconstructions were performed with Gaussian filters of 4, 6, and 8 mm, different iterations, and subset numbers (2 × 24; 2 × 16; 3 × 16; 4 × 16). Rest and stress global, regional, and segmental MBF and MFR were computed from time activity curves with FlowQuant(©) software. Left ventricular segmentation using the 17-segment American Heart Association model was obtained. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-06-08T14:08:47Z 2017-02 2017-02-01T00:00:00Z |
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/10400.21/7176 |
url |
http://hdl.handle.net/10400.21/7176 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Chilra P, Gnesin S, Allenbach G, Monteiro M, Prior JO, Vieira L, et al. Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters. EJNMMI Phys. 2017;4(1):10 10.1186/s40658-017-0178-3 |
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 |
SpringerOpen |
publisher.none.fl_str_mv |
SpringerOpen |
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) |
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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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1799133421210959872 |