Automatic correspondence on medical images

dc.contributor.author	Οικονομόπουλος, Θεόδωρος Λ.	el
dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.date.accessioned	2015-02-09T09:57:36Z
dc.date.available	2015-02-09T09:57:36Z
dc.date.issued	2015-02-09
dc.identifier.uri	http://hdl.handle.net/11400/5904
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://link.springer.com/	en
dc.subject	Registration accuracy
dc.subject	Iterative closest points
dc.subject	Ακρίβεια καταγραφής
dc.subject	Επαναληπτικά πλησιέστερα σημεία
dc.title	Automatic correspondence on medical images	en
heal.type	journalArticle
heal.secondaryTitle	a comparative study of four methods for allocating corresponding points	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 10.1007/s10278-009-9190-z
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2010
heal.bibliographicCitation	Economopoulos, T., Asvestas, P. and Matsopoulos, G. (August 2010). Automatic correspondence on medical images: a comparative study of four methods for allocating corresponding points. Journal of Digital Imaging. 23(4). pp. 399-421. Springer-Verlag: 2010. Available from: http://link.springer.com/	en
heal.abstract	The accurate estimation of point correspondences is often required in a wide variety of medical image-processing applications. Numerous point correspondence methods have been proposed in this field, each exhibiting its own characteristics, strengths, and weaknesses. This paper presents a comprehensive comparison of four automatic methods for allocating corresponding points, namely the template-matching technique, the iterative closest points approach, the correspondence by sensitivity to movement scheme, and the self-organizing maps algorithm. Initially, the four correspondence methods are described focusing on their distinct characteristics and their parameter selection for common comparisons. The performance of the four methods is then qualitatively and quantitatively compared over a total of 132 two-dimensional image pairs divided into eight sets. The sets comprise of pairs of images obtained using controlled geometry protocols (affine and sinusoidal transforms) and pairs of images subject to unknown transformations. The four methods are statistically evaluated pairwise on all image pairs and individually in terms of specific features of merit based on the correspondence accuracy as well as the registration accuracy. After assessing these evaluation criteria for each method, it was deduced that the self-organizing maps approach outperformed in most cases the other three methods in comparison.	en
heal.publisher	Springer-Verlag	en
heal.journalName	Journal of Digital Imaging	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true