Multimodal registration of retinal images using self organizing maps

Matsopoulos, GK; Asvestas, PA; Mouravliansky, NA; Delibasis, KK

dc.contributor.author	Matsopoulos, GK	en
dc.contributor.author	Asvestas, PA	en
dc.contributor.author	Mouravliansky, NA	en
dc.contributor.author	Delibasis, KK	en
dc.date.accessioned	2014-03-01T01:21:06Z
dc.date.available	2014-03-01T01:21:06Z
dc.date.issued	2004	en
dc.identifier.issn	0278-0062	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16064
dc.subject	Multimodal image registration	en
dc.subject	Ophthalmology	en
dc.subject	Retina	en
dc.subject	Self organizing maps	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Biomedical	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Imaging Science & Photographic Technology	en
dc.subject.classification	Radiology, Nuclear Medicine & Medical Imaging	en
dc.subject.other	Angiography	en
dc.subject.other	Bifurcation (mathematics)	en
dc.subject.other	Blood vessels	en
dc.subject.other	Cameras	en
dc.subject.other	Charge coupled devices	en
dc.subject.other	Image segmentation	en
dc.subject.other	Multimedia systems	en
dc.subject.other	Ophthalmology	en
dc.subject.other	Self organizing maps	en
dc.subject.other	Simulated annealing	en
dc.subject.other	Choroid circulation	en
dc.subject.other	Human-interactive registration	en
dc.subject.other	Multimodal image registration	en
dc.subject.other	Retina	en
dc.subject.other	Medical imaging	en
dc.title	Multimodal registration of retinal images using self organizing maps	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TMI.2004.836547	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TMI.2004.836547	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	In this paper, an automatic method for registering multimodal retinal images is presented. The method consists of three steps: the vessel centerline detection and extraction of bifurcation points only in the reference image, the automatic correspondence of bifurcation points in the two images using a novel implementation of the self organizing maps and the extraction of the parameters of the affine transform using the previously obtained correspondences. The proposed registration algorithm was tested on 24 multimodal retinal pairs and the obtained results show an advantageous performance in terms of accuracy with respect to the manual registration.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Medical Imaging	en
dc.identifier.doi	10.1109/TMI.2004.836547	en
dc.identifier.isi	ISI:000225453100009	en
dc.identifier.volume	23	en
dc.identifier.issue	12	en
dc.identifier.spage	1557	en
dc.identifier.epage	1562	en