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Automatic point correspondence using an artificial immune system optimization technique for medical image registration

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National Technical University of Athens   

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Automatic point correspondence using an artificial immune system optimization technique for medical image registration (EN)
Delibasis, KK (EN)
Asvestas, PA (EN)
Matsopoulos, GK (EN)
journalArticle (EN)
2014-03-01T01:35:21Z
2011 (EN)
In this paper, an automatic method for determining pairs of corresponding points between medical images is proposed. The method is based on the implementation of an artificial immune system (AIS). AIS is a relatively novel, population based category of algorithms, inspired by theoretical immunologic models. When used as function optimizers, AIS have the attractive property of locating the global optimum of a function as well as a large number of strong local optimum points. In this work, AIS has been applied both for the extraction of an optimal set of candidate points on the reference image and the definition of their corresponding ones on the second image. The performance of the proposed AIS algorithm is evaluated against the widely used Iterative Closest Point (ICP) algorithm in terms of the accuracy of the obtained correspondences and in terms of the accuracy of the point-based registration by the two correspondence algorithms and the Mutual Information criterion, as an intensity-based registration method. Qualitative and quantitative results involving 92 X-ray dental and 10 retinal image pairs subject to known and unknown transformations are presented. The results indicate a superior performance of the proposed AIS algorithm with respect to the ICP algorithm and the Mutual Information, in terms of both correct correspondence and registration accuracy. (C) 2010 Elsevier Ltd. All rights reserved. (EN)
Radiology, Nuclear Medicine & Medical Imaging (EN)
Point correspondence (EN)
Image Enhancement (EN)
Humans (EN)
Mutual Information (EN)
Point extraction (EN)
accuracy (EN)
X ray (EN)
Optimization (EN)
Immunology (EN)
retina image (EN)
Medical image registration (EN)
tooth radiography (EN)
priority journal (EN)
Radiographic Image Interpretation, Computer-Assisted (EN)
algorithm (EN)
Iterative Closest Point (EN)
Image registration (EN)
Medical imaging (EN)
Iterative Closest Points (EN)
correspondence analysis (EN)
Artificial Immune System (EN)
imaging (EN)
Artificial immune system (EN)
article (EN)
Mutual informations (EN)
Algorithms (EN)
performance (EN)
registration (EN)
Tooth (EN)
methodology (EN)
artificial immune system (EN)
Computerized Medical Imaging and Graphics (EN)
English
PERGAMON-ELSEVIER SCIENCE LTD (EN)
National Technical University of Athens
Digital Library of National Technical University of Athens | Dspace@NTUA
Κεντρική Βιβλιοθήκη Ε.Μ.Π.
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