Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/5678
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dc.contributor.authorRocha,Ren
dc.contributor.authorJorge Silvaen
dc.contributor.authorAurélio Campilhoen
dc.date.accessioned2018-01-06T17:30:16Z-
dc.date.available2018-01-06T17:30:16Z-
dc.date.issued2014en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/5678-
dc.identifier.urihttp://dx.doi.org/10.1007/978-1-4614-7425-8_22en
dc.description.abstractThis chapter surveys methodologies for the segmentation of carotid ultrasound images and describes a method for the semiautomatic detection of the lumen-intima and the media-adventitia interfaces of the near and far common carotid wall. The approach is based on feature extraction, fitting of cubic splines, dynamic programming, smooth intensity thresholding surfaces, and geometric snakes. A set of 47 B-mode images of the common carotid were used to assess the performance of the method. The detection errors are similar to the ones observed in manual segmentations for 95% of the far wall interfaces and 73% of the near wall interfaces. © 2014 Springer Science+Business Media, LLC. All rights are reserved.en
dc.languageengen
dc.relation6296en
dc.relation6071en
dc.rightsinfo:eu-repo/semantics/embargoedAccessen
dc.titleSegmentation of carotid ultrasound imagesen
dc.typebookParten
dc.typePublicationen
Appears in Collections:C-BER - Book Chapters

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