Automatic correspondence on medical images: A comparative study of four methods for allocating corresponding points

Economopoulos, TL; Asvestas, PA; Matsopoulos, GK

dc.contributor.author	Economopoulos, TL	en
dc.contributor.author	Asvestas, PA	en
dc.contributor.author	Matsopoulos, GK	en
dc.date.accessioned	2014-03-01T01:32:54Z
dc.date.available	2014-03-01T01:32:54Z
dc.date.issued	2010	en
dc.identifier.issn	0897-1889	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20237
dc.subject	Automatic point correspondence	en
dc.subject	Correspondence by sensitivity to movement	en
dc.subject	Features of merit	en
dc.subject	Iterative closest points	en
dc.subject	Point extraction	en
dc.subject	Registration accuracy	en
dc.subject	Self-organizing maps	en
dc.subject	Template matching	en
dc.subject.classification	Radiology, Nuclear Medicine & Medical Imaging	en
dc.subject.other	algorithm	en
dc.subject.other	article	en
dc.subject.other	automated pattern recognition	en
dc.subject.other	biometry	en
dc.subject.other	comparative study	en
dc.subject.other	diagnostic imaging	en
dc.subject.other	documentation	en
dc.subject.other	human	en
dc.subject.other	image processing	en
dc.subject.other	image subtraction	en
dc.subject.other	methodology	en
dc.subject.other	radiography	en
dc.subject.other	retina	en
dc.subject.other	tooth radiography	en
dc.subject.other	Algorithms	en
dc.subject.other	Biometry	en
dc.subject.other	Diagnostic Imaging	en
dc.subject.other	Documentation	en
dc.subject.other	Humans	en
dc.subject.other	Image Processing, Computer-Assisted	en
dc.subject.other	Pattern Recognition, Automated	en
dc.subject.other	Radiography, Dental	en
dc.subject.other	Retina	en
dc.subject.other	Subtraction Technique	en
dc.subject.other	Correspondence by sensitivity to movement	en
dc.subject.other	Features of merit	en
dc.subject.other	Iterative Closest Points	en
dc.subject.other	Point correspondence	en
dc.subject.other	Point extraction	en
dc.subject.other	Registration accuracy	en
dc.subject.other	Conformal mapping	en
dc.subject.other	Feature extraction	en
dc.subject.other	Medical imaging	en
dc.subject.other	Template matching	en
dc.subject.other	Self organizing maps	en
dc.title	Automatic correspondence on medical images: A comparative study of four methods for allocating corresponding points	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s10278-009-9190-z	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s10278-009-9190-z	en
heal.language	English	en
heal.publicationDate	2010	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. Copyright © 2010 by Society for Imaging Informatics in Medicine.	en
heal.publisher	SPRINGER	en
heal.journalName	Journal of Digital Imaging	en
dc.identifier.doi	10.1007/s10278-009-9190-z	en
dc.identifier.isi	ISI:000279504000004	en
dc.identifier.volume	23	en
dc.identifier.issue	4	en
dc.identifier.spage	399	en
dc.identifier.epage	421	en