Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets

Detalhes bibliográficos
Autor(a) principal: Queiros, Sandro
Data de Publicação: 2015
Outros Autores: Barbosa, Daniel, Engvall, Jan, Ebbers, Tino, Nagel, Eike, Sarvari, Sebastian I., Claus, Piet, Fonseca, Jaime C., Vilaça, João L., D’hooge, Jan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/11110/995
Resumo: Quantitative analysis of cine cardiac magnetic resonance (CMR) images for the assessment of global left ventricular morphology and function remains a routine task in clinical cardiology practice. To date, this process requires user interaction and therefore prolongs the examination (i.e. cost) and introduces observer variability. In this study, we sought to validate the feasibility, accuracy, and time efficiency of a novel framework for automatic quantification of left ventricular global function in a clinical setting.
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spelling Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasetscardiac cine MRIleft ventricular quantificationclinical validationautomatic segmentationfast image processingQuantitative analysis of cine cardiac magnetic resonance (CMR) images for the assessment of global left ventricular morphology and function remains a routine task in clinical cardiology practice. To date, this process requires user interaction and therefore prolongs the examination (i.e. cost) and introduces observer variability. In this study, we sought to validate the feasibility, accuracy, and time efficiency of a novel framework for automatic quantification of left ventricular global function in a clinical setting.European Heart Journal - Cardiovascular Imaging2016-02-19T15:40:48Z2015-10-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/11110/995oai:ciencipca.ipca.pt:11110/995enghttp://hdl.handle.net/11110/995metadata only accessinfo:eu-repo/semantics/openAccessQueiros, SandroBarbosa, DanielEngvall, JanEbbers, TinoNagel, EikeSarvari, Sebastian I.Claus, PietFonseca, Jaime C.Vilaça, João L.D’hooge, Janreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-05T12:52:29Zoai:ciencipca.ipca.pt:11110/995Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:01:24.087154Repositório 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 Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets
title Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets
spellingShingle Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets
Queiros, Sandro
cardiac cine MRI
left ventricular quantification
clinical validation
automatic segmentation
fast image processing
title_short Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets
title_full Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets
title_fullStr Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets
title_full_unstemmed Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets
title_sort Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets
author Queiros, Sandro
author_facet Queiros, Sandro
Barbosa, Daniel
Engvall, Jan
Ebbers, Tino
Nagel, Eike
Sarvari, Sebastian I.
Claus, Piet
Fonseca, Jaime C.
Vilaça, João L.
D’hooge, Jan
author_role author
author2 Barbosa, Daniel
Engvall, Jan
Ebbers, Tino
Nagel, Eike
Sarvari, Sebastian I.
Claus, Piet
Fonseca, Jaime C.
Vilaça, João L.
D’hooge, Jan
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Queiros, Sandro
Barbosa, Daniel
Engvall, Jan
Ebbers, Tino
Nagel, Eike
Sarvari, Sebastian I.
Claus, Piet
Fonseca, Jaime C.
Vilaça, João L.
D’hooge, Jan
dc.subject.por.fl_str_mv cardiac cine MRI
left ventricular quantification
clinical validation
automatic segmentation
fast image processing
topic cardiac cine MRI
left ventricular quantification
clinical validation
automatic segmentation
fast image processing
description Quantitative analysis of cine cardiac magnetic resonance (CMR) images for the assessment of global left ventricular morphology and function remains a routine task in clinical cardiology practice. To date, this process requires user interaction and therefore prolongs the examination (i.e. cost) and introduces observer variability. In this study, we sought to validate the feasibility, accuracy, and time efficiency of a novel framework for automatic quantification of left ventricular global function in a clinical setting.
publishDate 2015
dc.date.none.fl_str_mv 2015-10-22T00:00:00Z
2016-02-19T15:40:48Z
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/11110/995
oai:ciencipca.ipca.pt:11110/995
url http://hdl.handle.net/11110/995
identifier_str_mv oai:ciencipca.ipca.pt:11110/995
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://hdl.handle.net/11110/995
dc.rights.driver.fl_str_mv metadata only access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv European Heart Journal - Cardiovascular Imaging
publisher.none.fl_str_mv European Heart Journal - Cardiovascular Imaging
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
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