1. Home page
  2. Search

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

This item is provided by the institution :
National Technical University of Athens   

Repository :
Digital Library of National Technical University of Athens | Dspace@NTUA   

see the original item page
in the repository's web site and access all digital files if the item*



Automatic correspondence on medical images: A comparative study of four methods for allocating corresponding points (EN)
Economopoulos, TL (EN)
Asvestas, PA (EN)
Matsopoulos, GK (EN)
journalArticle (EN)
2014-03-01T01:32:54Z
2010 (EN)
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)
Radiology, Nuclear Medicine & Medical Imaging (EN)
comparative study (EN)
Point correspondence (EN)
Humans (EN)
Point extraction (EN)
Retina (EN)
Subtraction Technique (EN)
Features of merit (EN)
Iterative closest points (EN)
retina (EN)
Conformal mapping (EN)
tooth radiography (EN)
Radiography, Dental (EN)
human (EN)
algorithm (EN)
biometry (EN)
image processing (EN)
Medical imaging (EN)
image subtraction (EN)
Correspondence by sensitivity to movement (EN)
Iterative Closest Points (EN)
documentation (EN)
Documentation (EN)
Automatic point correspondence (EN)
radiography (EN)
Template matching (EN)
automated pattern recognition (EN)
article (EN)
diagnostic imaging (EN)
Biometry (EN)
Diagnostic Imaging (EN)
Registration accuracy (EN)
Algorithms (EN)
Image Processing, Computer-Assisted (EN)
Self organizing maps (EN)
Self-organizing maps (EN)
Feature extraction (EN)
Pattern Recognition, Automated (EN)
methodology (EN)
Journal of Digital Imaging (EN)
English
SPRINGER (EN)
National Technical University of Athens
Digital Library of National Technical University of Athens | Dspace@NTUA
Κεντρική Βιβλιοθήκη Ε.Μ.Π.
Ιδρυματικό Αποθετήριο
Δημοσιεύσεις μελών Δ.Ε.Π. σε περιοδικά



*Institutions are responsible for keeping their URLs functional (digital file, item page in repository site)