Segmentation of carotid ultrasound images

dc.contributor.author	Rocha,R	en
dc.contributor.author	Jorge Silva	en
dc.contributor.author	Aurélio Campilho	en
dc.date.accessioned	2018-01-06T17:30:16Z
dc.date.available	2018-01-06T17:30:16Z
dc.date.issued	2014	en
dc.description.abstract	This 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.identifier.uri	http://repositorio.inesctec.pt/handle/123456789/5678
dc.identifier.uri	http://dx.doi.org/10.1007/978-1-4614-7425-8_22	en
dc.language	eng	en
dc.relation	6296	en
dc.relation	6071	en
dc.rights	info:eu-repo/semantics/embargoedAccess	en
dc.title	Segmentation of carotid ultrasound images	en
dc.type	bookPart	en
dc.type	Publication	en

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