Cardiac PET/CT with Rb-82: optimization of image acquisition and reconstruction parameters

Detalhes bibliográficos
Autor(a) principal: Chilra, P.
Data de Publicação: 2017
Outros Autores: Gnesin, S., Allenbach, G., Monteiro, M., Prior, J. O., Vieira, Lina, Pires Jorge, J. A.
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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spelling 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)
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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