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Multimodal registration of retinal images using self organizing maps

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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


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