Registration of retinal angiograms using self organizing maps

dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.contributor.author	Δελήμπασης, Κωνσταντίνος Κ.	el
dc.contributor.author	Μουραβλιάνσκυ, Νικόλαος Α.	el
dc.date.accessioned	2015-02-08T09:38:46Z
dc.date.available	2015-02-08T09:38:46Z
dc.date.issued	2015-02-08
dc.identifier.uri	http://hdl.handle.net/11400/5835
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://ieeexplore.ieee.org/	en
dc.subject	Biomedical optical imaging
dc.subject	Blood vessels
dc.subject	Βιοϊατρική οπτική απεικόνιση
dc.subject	Αιμοφόρα αγγεία
dc.title	Registration of retinal angiograms using self organizing maps	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society	en
heal.classification	Medicine
heal.classification	Biomedical engineering
heal.classification	Ιατρική
heal.classification	Βιοϊατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85014237
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Βιοϊατρική τεχνολογία
heal.identifier.secondary	DOI: 10.1109/IEMBS.2006.260567
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2006
heal.bibliographicCitation	Asvestas, P., Matsopoulos, G., Delibasis, K. and Mouravliansky, N. (2006). Registration of retinal angiograms using self organizing maps. In the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. New York, 30th Aug-3rd Sept 2006. pp. 4722 – 4725. IEEE. Available from: http://ieeexplore.ieee.org/	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 organized maps (SOMs) 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	en
heal.fullTextAvailability	true
heal.conferenceName	Annual International Conference of the IEEE Engineering in Medicine and Biology Society	en
heal.conferenceItemType	full paper