Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/53097
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Torres, Helena R. | por |
dc.contributor.author | Oliveira, Bruno | por |
dc.contributor.author | Queiros, Sandro | por |
dc.contributor.author | Morais, Pedro | por |
dc.contributor.author | Fonseca, Jaime C. | por |
dc.contributor.author | D'hooge, Jan | por |
dc.contributor.author | Rodrigues, Nuno F. | por |
dc.contributor.author | Vilaca, Joao L. | por |
dc.date.accessioned | 2018-03-21T15:01:18Z | - |
dc.date.available | 2018-03-21T15:01:18Z | - |
dc.date.issued | 2016 | - |
dc.identifier.isbn | 978-150902209-0 | por |
dc.identifier.issn | 2330-5649 | por |
dc.identifier.uri | https://hdl.handle.net/1822/53097 | - |
dc.description.abstract | In this manuscript, we propose to adapt the B-Spline Explicit Active Surfaces (BEAS) framework for semi-automatic kidney segmentation in computed tomography (CT) images. To study the best energy functional for kidney CT extraction, three different localized region-based energies were implemented within the BEAS framework, namely localized Chan-Vese, localized Yezzi, and signed localized Yezzi energies. Moreover, a novel gradient-based regularization term is proposed. The method was applied on 18 kidneys from 9 CT datasets, with different image properties. Several energy combinations were contrasted using surface-based comparison against ground truth meshes, assessing their accuracy and robustness against surface initialization. Overall, the hybrid energy functional combining the localized signed Yezzi energy with gradient-based regularization simultaneously showed the highest accuracy and the lowest sensitivity to the initialization. Volumetric analysis demonstrated the feasibility of the method from a clinical point of view, with similar reproducibility to manual observers. | por |
dc.description.sponsorship | The authors acknowledge FCT - Fundação para a Ciência e a Tecnologia, 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/93443/2013 (S. Queirós) and SFRH/BD/95438/2013 (P. Morais). | por |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.relation | SFRH/BD/93443/2013 | por |
dc.relation | SFRH/BD/95438/2013 | por |
dc.rights | openAccess | por |
dc.subject | B-Spline Explicit Active Surfaces | por |
dc.subject | Computed Tomography | por |
dc.subject | Kidney segmentation | por |
dc.subject | Surface analysis | por |
dc.subject | Volumetric analysis | por |
dc.title | Kidney segmentation in 3D CT images using B-Spline Explicit Active Surfaces | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
oaire.citationConferenceDate | 11 May.-13 May. 2016 | por |
sdum.event.title | 2016 IEEE International Conference on Serious Games and Applications for Health | por |
sdum.event.type | conference | por |
oaire.citationStartPage | 1 | por |
oaire.citationEndPage | 7 | por |
oaire.citationConferencePlace | Orlando; United States | por |
dc.identifier.doi | 10.1109/SeGAH.2016.7586276 | por |
dc.subject.fos | Engenharia e Tecnologia::Engenharia Médica | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | IEEE International Conference on Serious Games and Applications for Health | por |
sdum.conferencePublication | 2016 IEEE INTERNATIONAL CONFERENCE ON SERIOUS GAMES AND APPLICATIONS FOR HEALTH | por |
Aparece nas coleções: | DEI - Artigos em atas de congressos internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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07586276.pdf | 1,83 MB | Adobe PDF | Ver/Abrir |