Fast left ventricle tracking using localized anatomical affine optical flow

Detalhes bibliográficos
Autor(a) principal: Queirós, Sandro Filipe Monteiro
Data de Publicação: 2017
Outros Autores: Vilaça, João L., Morais, Pedro André Gonçalves, Fonseca, Jaime C., D’hooge, Jan, Barbosa, Daniel Joaquim Cunha
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/50160
Resumo: Fast left ventricle tracking using localized anatomical affine optical flow
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spelling Fast left ventricle tracking using localized anatomical affine optical flowlocalized affine optical flowfast image processingleft ventricle trackingautomatic quantificationcardiac cine MRI3D echocardiographyScience & TechnologyFast left ventricle tracking using localized anatomical affine optical flowIn daily clinical cardiology practice, left ventricle (LV) global and regional function assessment is crucial for disease diagnosis, therapy selection, and patient follow-up. Currently, this is still a time-consuming task, spending valuable human resources. In this work, a novel fast methodology for automatic LV tracking is proposed based on localized anatomically constrained affine optical flow. This novel method can be combined to previously proposed segmentation frameworks or manually delineated surfaces at an initial frame to obtain fully delineated datasets and, thus, assess both global and regional myocardial function. Its feasibility and accuracy were investigated in 3 distinct public databases, namely in realistically simulated 3D ultrasound, clinical 3D echocardiography, and clinical cine cardiac magnetic resonance images. The method showed accurate tracking results in all databases, proving its applicability and accuracy for myocardial function assessment. Moreover, when combined to previous state-of-the-art segmentation frameworks, it outperformed previous tracking strategies in both 3D ultrasound and cardiac magnetic resonance data, automatically computing relevant cardiac indices with smaller biases and narrower limits of agreement compared to reference indices. Simultaneously, the proposed localized tracking method showed to be suitable for online processing, even for 3D motion assessment. Importantly, although here evaluated for LV tracking only, this novel methodology is applicable for tracking of other target structures with minimal adaptations.The authors acknowledge funding support from FCT - Fundacao para a Ciência e a Tecnologia, Portugal, and the European Social Found, European Union, through the Programa Operacional Capital Humano (POCH) in the scope of the PhD grants SFRH/BD/93443/2013 (S. Queiros) and SFRH/BD/95438/2013 (P. Morais), and by the project ’PersonalizedNOS (01-0145-FEDER-000013)’ co-funded by Programa Operacional Regional do Norte (Norte2020) through the European Regional Development Fund (ERDF).info:eu-repo/semantics/publishedVersionWileyUniversidade do MinhoQueirós, Sandro Filipe MonteiroVilaça, João L.Morais, Pedro André GonçalvesFonseca, Jaime C.D’hooge, JanBarbosa, Daniel Joaquim Cunha2017-042017-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/50160eng2040-794710.1002/cnm.287128208231http://onlinelibrary.wiley.com/doi/10.1002/cnm.2871/abstractinfo: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:RCAAP2023-07-21T12:31:43Zoai:repositorium.sdum.uminho.pt:1822/50160Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:26:59.385736Repositório 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 Fast left ventricle tracking using localized anatomical affine optical flow
title Fast left ventricle tracking using localized anatomical affine optical flow
spellingShingle Fast left ventricle tracking using localized anatomical affine optical flow
Queirós, Sandro Filipe Monteiro
localized affine optical flow
fast image processing
left ventricle tracking
automatic quantification
cardiac cine MRI
3D echocardiography
Science & Technology
title_short Fast left ventricle tracking using localized anatomical affine optical flow
title_full Fast left ventricle tracking using localized anatomical affine optical flow
title_fullStr Fast left ventricle tracking using localized anatomical affine optical flow
title_full_unstemmed Fast left ventricle tracking using localized anatomical affine optical flow
title_sort Fast left ventricle tracking using localized anatomical affine optical flow
author Queirós, Sandro Filipe Monteiro
author_facet Queirós, Sandro Filipe Monteiro
Vilaça, João L.
Morais, Pedro André Gonçalves
Fonseca, Jaime C.
D’hooge, Jan
Barbosa, Daniel Joaquim Cunha
author_role author
author2 Vilaça, João L.
Morais, Pedro André Gonçalves
Fonseca, Jaime C.
D’hooge, Jan
Barbosa, Daniel Joaquim Cunha
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Queirós, Sandro Filipe Monteiro
Vilaça, João L.
Morais, Pedro André Gonçalves
Fonseca, Jaime C.
D’hooge, Jan
Barbosa, Daniel Joaquim Cunha
dc.subject.por.fl_str_mv localized affine optical flow
fast image processing
left ventricle tracking
automatic quantification
cardiac cine MRI
3D echocardiography
Science & Technology
topic localized affine optical flow
fast image processing
left ventricle tracking
automatic quantification
cardiac cine MRI
3D echocardiography
Science & Technology
description Fast left ventricle tracking using localized anatomical affine optical flow
publishDate 2017
dc.date.none.fl_str_mv 2017-04
2017-04-01T00:00:00Z
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/1822/50160
url http://hdl.handle.net/1822/50160
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2040-7947
10.1002/cnm.2871
28208231
http://onlinelibrary.wiley.com/doi/10.1002/cnm.2871/abstract
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 Wiley
publisher.none.fl_str_mv Wiley
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
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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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