An automatic registration-fusion scheme based on similarity measures: An application to dental imaging

Zacharaki, EI; Asvestas, P; Matsopoulos, GK; Delibasis, KK; Nikita, KS

dc.contributor.author	Zacharaki, EI	en
dc.contributor.author	Asvestas, P	en
dc.contributor.author	Matsopoulos, GK	en
dc.contributor.author	Delibasis, KK	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:41:41Z
dc.date.available	2014-03-01T02:41:41Z
dc.date.issued	2001	en
dc.identifier.issn	04549244	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30599
dc.subject	Affine transformation	en
dc.subject	Cross-correlation	en
dc.subject	Dental x-ray images	en
dc.subject	Mutual information	en
dc.subject	Registration	en
dc.subject	Similarity measures	en
dc.title	An automatic registration-fusion scheme based on similarity measures: An application to dental imaging	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.2001.1017268	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.2001.1017268	en
heal.publicationDate	2001	en
heal.abstract	A novel automatic registration-fusion scheme based on similarity measures is proposed in this paper. It 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.journalName	Annual Reports of the Research Reactor Institute, Kyoto University	en
dc.identifier.doi	10.1109/IEMBS.2001.1017268	en
dc.identifier.volume	3	en
dc.identifier.spage	2429	en
dc.identifier.epage	2432	en