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dc.creatorCatarina Castro
dc.creatorLuísa Costa Sousa
dc.creatorRicardo Fitas
dc.creatorCarlos Alberto Conceição António
dc.creatorElsa Azevedo
dc.description.abstractUltrasound imaging is extremely important for the assessment of disease severity in the carotid arteries. The high complexity of irregular structures in transverse ultrasound images of abnormal bifurcation of the common carotid artery brings tremendous difficulty to segmentation and identification of vulnerable atherosclerotic plaques. Automatic algorithms for image segmentation provide results minimizing the variability caused by subjective decisions and different operators. The proposed algorithm for automatic segmentation of B-mode transverse images of the carotid bifurcation facilitates structure selection for further analyses and provides an evaluation performance of the methodology and a means for comparing different algorithm settings. Patient-specific Doppler imaging is used to illustrate the new developed methodology.
dc.subjectEngenharia, Matemática, Ciências Médicas, Ciências da engenharia e tecnologias, Ciências médicas e da saúde
dc.subjectEngineering, Mathematics, Medical sciences, Engineering and technology, Medical and Health sciences
dc.titleSegmentação automática de imagens doppler transversais modo-b da bifurcação carotídea / Automatic segmentation in transverse ultrasound bmode images of the carotid artery
dc.typeArtigo em Revista Científica Nacional
dc.contributor.uportoFaculdade de Engenharia
dc.contributor.uportoFaculdade de Medicina
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 Revista Científica Nacional
FMUP - Artigo em Revista Científica Nacional

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