An automatic registration-fusion scheme based on similarity measures

dc.contributor.author	Ζαχαράκη, Ευαγγελία Ι.	el
dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.contributor.author	Δελήμπασης, Κωνσταντίνος Κ.	el
dc.contributor.author	Νικήτα, Κωνσταντίνα Σ.	el
dc.date.accessioned	2015-02-07T16:24:10Z
dc.date.available	2015-02-07T16:24:10Z
dc.date.issued	2015-02-07
dc.identifier.uri	http://hdl.handle.net/11400/5793
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	Biological tissues
dc.subject	Dentistry
dc.subject	Βιολογικοί ιστοί
dc.subject	Οδοντιατρική
dc.title	An automatic registration-fusion scheme based on similarity measures	en
heal.type	conferenceItem
heal.secondaryTitle	an application to dental imaging	en
heal.generalDescription	Proceedings of the 23rd Annual International Conference of the Engineering in Medicine and Biology Society	en
heal.classification	Medicine
heal.classification	Medical technology
heal.classification	Ιατρική
heal.classification	Ιατρικά όργανα και εξοπλισμός
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://skos.um.es/unescothes/C02465
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ιατρικά όργανα και εξοπλισμός
heal.identifier.secondary	DOI: 10.1109/IEMBS.2001.1017268
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2001
heal.bibliographicCitation	Zacharaki, E., Asvestas, P., Matsopoulos, G., Delibasis, K. and Nikita, K. (2001). An automatic registration-fusion scheme based on similarity measures: an application to dental imaging. In the 23rd Annual International Conference of the Engineering in Medicine and Biology Society. Istabul, 25th-28th October 2001. vol. 3. pp. 2429-2432. IEEE. Available from: http://ieeexplore.ieee.org	en
heal.abstract	The novel automatic registration-fusion scheme utilises the geometrical configuration between the X-ray source, the CCD sensor and the target tissue using the appropriate geometric transformations, as well as the calculation of similarity measures between two dental radiographic images to be registered. Moreover, a fusion process has been developed to combine information from registered dental images. Result on clinical data reveals the advantageous performance of the proposed automatic registration method compared to the manual one using an independent evaluation criterion such as the mutual information criterion. Furthermore, the automatic registration approach outperforms despite the fuzzy dental boundaries and the lack of characteristic edges of the radiographic images. These preliminary findings may be used in order to establish the use of the proposed automatic method relieving the expert from the tedious and time-consuming task of defining analogous markers between the two radiographic images.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	true
heal.conferenceName	Annual International Conference of the Engineering in Medicine and Biology Society	en
heal.conferenceItemType	full paper