Multimodal registration of retinal images using self organizing maps

dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Μουραβλιάνσκυ, Νικόλαος Α.	el
dc.contributor.author	Δελήμπασης, Κωνσταντίνος Κ.	el
dc.date.accessioned	2015-02-09T07:48:07Z
dc.date.available	2015-02-09T07:48:07Z
dc.date.issued	2015-02-09
dc.identifier.uri	http://hdl.handle.net/11400/5897
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	Angiocardiography
dc.subject	Biomedical optical imaging
dc.subject	Αγγειοκαρδιογραφία
dc.subject	Βιοϊατρική οπτική απεικόνιση
dc.title	Multimodal registration of retinal images using self organizing maps	en
heal.type	journalArticle
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.keywordURI	http://id.loc.gov/authorities/subjects/sh85005024
heal.identifier.secondary	DOI: 10.1109/TMI.2004.836547
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2004
heal.bibliographicCitation	Matsopoulos, G., Asvestas, P., Mouravliansky, N. and Delibasis, K. (December 2004). Multimodal registration of retinal images using self organizing maps. IEEE Transactions on Medical Imaging. 23(12).pp. 1557-1562. 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 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.sponsor	IEEE Engineering in Medicine and Biology Society	en
heal.publisher	IEEE	en
heal.journalName	IEEE Transactions on Medical Imaging	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true