A generalized diagnostic algorithm based on fluorescence data for the atherosclerosis

Yova, D

dc.contributor.author	Yova, D	en
dc.date.accessioned	2014-03-01T01:44:36Z
dc.date.available	2014-03-01T01:44:36Z
dc.date.issued	1996	en
dc.identifier.issn	01400118	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24427
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-24044492650&partnerID=40&md5=7222dd820a615abcb85b05bb1b357068	en
dc.title	A generalized diagnostic algorithm based on fluorescence data for the atherosclerosis	en
heal.type	journalArticle	en
heal.publicationDate	1996	en
heal.abstract	Diagnostic information about atherosclerosis, is extracted by developing a generalized algorithm applied to wavelengths from 260 nm up to 600 nm. The analysis was done by using a general model of tissue fluorescence, relating the Excitation - Emission Matrices from different arteries, to the EEMs of the chromophores. The algorithm performs the approximation for the coefficients, mi, m,ta, mb and the relative concentrations of the chromophores are calculated and correlated to different categories of the artery. The algorithm is applied to a wide range of wavelengths and provides the possibility to extract biochemical information about the tissue.	en
heal.journalName	Medical and Biological Engineering and Computing	en
dc.identifier.volume	34	en
dc.identifier.issue	SUPPL. 1	en
dc.identifier.spage	297	en
dc.identifier.epage	298	en