Characterization of carotid atherosclerotic plaques using frequency-based texture analysis and bootstrap

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

dc.contributor.author	Stoitsis, J	en
dc.contributor.author	Tsiaparas, N	en
dc.contributor.author	Golemati, S	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:43:58Z
dc.date.available	2014-03-01T02:43:58Z
dc.date.issued	2006	en
dc.identifier.issn	05891019	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31585
dc.subject	Carotid atherosclerosis	en
dc.subject	Fourier power spectrum	en
dc.subject	Texture analysis	en
dc.subject	Ultrasound imaging	en
dc.subject	Wavelet transform	en
dc.subject.other	Biomedical engineering	en
dc.subject.other	Blood vessels	en
dc.subject.other	Feature extraction	en
dc.subject.other	Image analysis	en
dc.subject.other	Medical imaging	en
dc.subject.other	Statistical methods	en
dc.subject.other	Asymptomatic plaques	en
dc.subject.other	Atherosclerosis	en
dc.subject.other	Carotid atherosclerotic plaques	en
dc.subject.other	Standard deviation	en
dc.subject.other	Ultrasonic imaging	en
dc.title	Characterization of carotid atherosclerotic plaques using frequency-based texture analysis and bootstrap	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.2006.260723	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.2006.260723	en
heal.identifier.secondary	4030150	en
heal.publicationDate	2006	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, two frequency-based texture analysis methods based on the Fourier Power Spectrum and the Wavelet Transform, were used to characterize atheromatous plaques. B-mode ultrasound images of 10 symptomatic and 9 asymptomatic plaques were interrogated. A total of 109 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, three features were found to be significantly different between the two types of plaques: the average value of the angular distribution corresponding to the wedge centered at 90°, the standard deviation at scale 1 derived from the horizontal detail image, and the standard deviation at scale 2 derived from the horizontal detail image. It is concluded that frequency-based texture analysis in combination with a powerful statistical technique, such as bootstrapping, may provide valuable information about the plaque tissue type. © 2006 IEEE.	en
heal.journalName	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings	en
dc.identifier.doi	10.1109/IEMBS.2006.260723	en
dc.identifier.volume	1	en
dc.identifier.spage	2392	en
dc.identifier.epage	2395	en