Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/125276
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dc.creatorCatarina F. Castro
dc.creatorLuísa Costa Sousa
dc.creatorRicardo Fitas
dc.creatorCarlos Alberto Conceição António
dc.creatorRosa Santos
dc.creatorElsa Azevedo
dc.date.accessioned2024-12-13T00:16:57Z-
dc.date.available2024-12-13T00:16:57Z-
dc.date.issued2019
dc.identifier.othersigarra:374188
dc.identifier.urihttps://hdl.handle.net/10216/125276-
dc.description.abstractFeature and structure identification in medical images allows a faster identification of certain anomalies and diseases. The study presented here enables the automatic reconstruction of the arterial bifurcation lumen axis using carotid B-mode ultrasound images. The segmentation methodology introduces new indexes in the automatic process aiming better accuracy in the selection of the correct artery structure as compared to previously published developments.
dc.language.isoeng
dc.relation.ispartofM2D2019-8th International Conference on Mechanics and Materials Design
dc.rightsrestrictedAccess
dc.subjectEngenharia, Ciências da Saúde, Ciências da engenharia e tecnologias, Ciências médicas e da saúde
dc.subjectEngineering, Health sciences, Engineering and technology, Medical and Health sciences
dc.titleAutomatic reconstruction of the luminal carotid bifurcation axis using transverse ultrasound images
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.contributor.uportoFaculdade de Medicina
dc.identifier.authenticusP-011-2B4
dc.subject.fosCiências da engenharia e tecnologias
dc.subject.fosEngineering and technology
dc.subject.fosCiências médicas e da saúde
dc.subject.fosMedical and Health sciences
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional
FMUP - Artigo em Livro de Atas de Conferência Internacional

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