Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
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/1822/58200 |
Resumo: | Image-fusion strategies have been applied to improve inter-atrial septal (IAS) wall minimally-invasive interventions. Hereto, several landmarks are initially identified on richly-detailed datasets throughout the planning stage and then combined with intra-operative images, enhancing the relevant structures and easing the procedure. Nevertheless, such planning is still performed manually, which is time-consuming and not necessarily reproducible, hampering its regular application. In this article, we present a novel automatic strategy to segment the atrial region (left/right atrium and aortic tract) and the fossa ovalis (FO). |
id |
RCAP_24598ea9f0598349d556afc9875690bd |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/58200 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventionsAlgorithmsAtrial FibrillationAutomationHeart AtriaHeart SeptumHumansImaging, Three-DimensionalModels, AnatomicObserver VariationRadiotherapy Planning, Computer-AssistedReproducibility of ResultsSoftwareImage Processing, Computer-AssistedTomography, X-Ray ComputedImage segmentationCardiac intervention planningInter-atrial wall interventionsCompetitive segmentation strategyAtlas-based initializationCiências Médicas::Medicina BásicaScience & TechnologyImage-fusion strategies have been applied to improve inter-atrial septal (IAS) wall minimally-invasive interventions. Hereto, several landmarks are initially identified on richly-detailed datasets throughout the planning stage and then combined with intra-operative images, enhancing the relevant structures and easing the procedure. Nevertheless, such planning is still performed manually, which is time-consuming and not necessarily reproducible, hampering its regular application. In this article, we present a novel automatic strategy to segment the atrial region (left/right atrium and aortic tract) and the fossa ovalis (FO).Fundacão para a Ciência e a Tecnologia (FCT), in Portugal, and the European Social Found, European Union, for funding support through the “Programa Operacional Capital Humano” (POCH) in the scope of the PhD grants SFRH/BD/95438/2013 (P. Morais) and SFRH/BD/93443/2013 (S. Queirós). This work was funded by projects NORTE-01-0145-FEDER-000013, NORTE-01-0145-FEDER-000022 and NORTE-01-0145-FEDER-024300, supported by Northern Portugal Regional Operational Programme (Norte2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (FEDER), and also been funded by FEDER funds, through Competitiveness Factors Operational Programme (COMPETE), and by national funds, through the FCT, under the scope of the project POCI-01-0145-FEDER-007038info:eu-repo/semantics/publishedVersionElsevierUniversidade do MinhoMorais, Pedro André GonçalvesVilaça, João L.Queirós, Sandro Filipe MonteiroMarchi, AlbertoBourier, FelixDeisenhofer, IsabelD'hooge, JanTavares, João Manuel R. S.2018-072018-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/58200engMorais, P., Vilaça, J. L., et. al.(2018). Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions. Computer methods and programs in biomedicine, 161, 73-840169-26071872-756510.1016/j.cmpb.2018.04.01429852969https://www.sciencedirect.com/science/article/pii/S0169260718302554info: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:RCAAP2023-07-21T12:13:38Zoai:repositorium.sdum.uminho.pt:1822/58200Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:05:48.421778Repositório 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 |
Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions |
title |
Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions |
spellingShingle |
Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions Morais, Pedro André Gonçalves Algorithms Atrial Fibrillation Automation Heart Atria Heart Septum Humans Imaging, Three-Dimensional Models, Anatomic Observer Variation Radiotherapy Planning, Computer-Assisted Reproducibility of Results Software Image Processing, Computer-Assisted Tomography, X-Ray Computed Image segmentation Cardiac intervention planning Inter-atrial wall interventions Competitive segmentation strategy Atlas-based initialization Ciências Médicas::Medicina Básica Science & Technology |
title_short |
Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions |
title_full |
Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions |
title_fullStr |
Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions |
title_full_unstemmed |
Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions |
title_sort |
Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions |
author |
Morais, Pedro André Gonçalves |
author_facet |
Morais, Pedro André Gonçalves Vilaça, João L. Queirós, Sandro Filipe Monteiro Marchi, Alberto Bourier, Felix Deisenhofer, Isabel D'hooge, Jan Tavares, João Manuel R. S. |
author_role |
author |
author2 |
Vilaça, João L. Queirós, Sandro Filipe Monteiro Marchi, Alberto Bourier, Felix Deisenhofer, Isabel D'hooge, Jan Tavares, João Manuel R. S. |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Morais, Pedro André Gonçalves Vilaça, João L. Queirós, Sandro Filipe Monteiro Marchi, Alberto Bourier, Felix Deisenhofer, Isabel D'hooge, Jan Tavares, João Manuel R. S. |
dc.subject.por.fl_str_mv |
Algorithms Atrial Fibrillation Automation Heart Atria Heart Septum Humans Imaging, Three-Dimensional Models, Anatomic Observer Variation Radiotherapy Planning, Computer-Assisted Reproducibility of Results Software Image Processing, Computer-Assisted Tomography, X-Ray Computed Image segmentation Cardiac intervention planning Inter-atrial wall interventions Competitive segmentation strategy Atlas-based initialization Ciências Médicas::Medicina Básica Science & Technology |
topic |
Algorithms Atrial Fibrillation Automation Heart Atria Heart Septum Humans Imaging, Three-Dimensional Models, Anatomic Observer Variation Radiotherapy Planning, Computer-Assisted Reproducibility of Results Software Image Processing, Computer-Assisted Tomography, X-Ray Computed Image segmentation Cardiac intervention planning Inter-atrial wall interventions Competitive segmentation strategy Atlas-based initialization Ciências Médicas::Medicina Básica Science & Technology |
description |
Image-fusion strategies have been applied to improve inter-atrial septal (IAS) wall minimally-invasive interventions. Hereto, several landmarks are initially identified on richly-detailed datasets throughout the planning stage and then combined with intra-operative images, enhancing the relevant structures and easing the procedure. Nevertheless, such planning is still performed manually, which is time-consuming and not necessarily reproducible, hampering its regular application. In this article, we present a novel automatic strategy to segment the atrial region (left/right atrium and aortic tract) and the fossa ovalis (FO). |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-07 2018-07-01T00:00:00Z |
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/1822/58200 |
url |
http://hdl.handle.net/1822/58200 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Morais, P., Vilaça, J. L., et. al.(2018). Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions. Computer methods and programs in biomedicine, 161, 73-84 0169-2607 1872-7565 10.1016/j.cmpb.2018.04.014 29852969 https://www.sciencedirect.com/science/article/pii/S0169260718302554 |
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 |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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_ |
1799132470851928064 |