Fast left ventricle tracking using localized anatomical affine optical flow
Autor(a) principal: | |
---|---|
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/1822/50160 |
Resumo: | Fast left ventricle tracking using localized anatomical affine optical flow |
id |
RCAP_284b4cd14c37641a61df3385ebfd3ca1 |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/50160 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
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 |
|
_version_ |
1799132759062478848 |