Texture characterization of carotid atherosclerotic plaque from B-mode ultrasound using Gabor filters

Stoitsis, J; Golemati, S; Tsiaparas, N; Nikita, KS

dc.contributor.author	Stoitsis, J	en
dc.contributor.author	Golemati, S	en
dc.contributor.author	Tsiaparas, N	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:46:32Z
dc.date.available	2014-03-01T02:46:32Z
dc.date.issued	2009	en
dc.identifier.issn	1557170X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32704
dc.subject	Bootstrap Method	en
dc.subject	Carotid Artery	en
dc.subject	Energy Estimate	en
dc.subject	gabor filter	en
dc.subject	Standard Deviation	en
dc.subject	Statistical Techniques	en
dc.subject	Texture Analysis	en
dc.subject	Texture Features	en
dc.subject	Ultrasound	en
dc.subject	Ultrasound Imaging	en
dc.subject.other	Atherosclerotic plaque	en
dc.subject.other	B-mode ultrasound images	en
dc.subject.other	Bootstrap method	en
dc.subject.other	Carotid artery	en
dc.subject.other	Filter-based	en
dc.subject.other	Gabor filter	en
dc.subject.other	Mean values	en
dc.subject.other	Standard deviation	en
dc.subject.other	Statistical techniques	en
dc.subject.other	Texture analysis	en
dc.subject.other	Texture characterizations	en
dc.subject.other	Texture features	en
dc.subject.other	Tissue types	en
dc.subject.other	Biology	en
dc.subject.other	Ultrasonic applications	en
dc.subject.other	Ultrasonics	en
dc.subject.other	Textures	en
dc.title	Texture characterization of carotid atherosclerotic plaque from B-mode ultrasound using Gabor filters	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.2009.5334867	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.2009.5334867	en
heal.identifier.secondary	5334867	en
heal.publicationDate	2009	en
heal.abstract	Texture analysis of B-mode ultrasound images of carotid atheromatous plaque can be valuable for the accurate diagnosis of atherosclerosis. In this paper, Gabor filters were used to characterize the texture of carotid artery atherosclerotic tissue. B-mode ultrasound images of 10 symptomatic and 9 asymptomatic plaques were interrogated. A total of 40 texture features were estimated for each plaque. The bootstrap method was used to compare the mean values of the texture features extracted from the two groups. After bootstrapping, the mean value and the standard deviation of the energy estimated using the Gabor filters was found to be significantly different between symptomatic and asymptomatic plaques in the first scale of analysis and for all orientations. In addition, a number of texture features that correspond to larger resolution scales were found to be significantly different between the two types of plaques. It is concluded that Gabor-filter-based texture analysis in combination with a powerful statistical technique, such as bootstrapping, may provide valuable information about the plaque tissue type. ©2009 IEEE.	en
heal.journalName	Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009	en
dc.identifier.doi	10.1109/IEMBS.2009.5334867	en
dc.identifier.volume	2009	en
dc.identifier.spage	455	en
dc.identifier.epage	458	en