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Computational Intelligence and Neuroscience
Volume 2012 (2012), Article ID 135204, 9 pages
http://dx.doi.org/10.1155/2012/135204
Research Article

Composite Match Index with Application of Interior Deformation Field Measurement from Magnetic Resonance Volumetric Images of Human Tissues

1School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
2College of Mathematics and Computer Science, Wuhan Textile University, Wuhan 430073, China

Received 5 April 2012; Revised 8 June 2012; Accepted 6 July 2012

Academic Editor: Yen-Wei Chen

Copyright © 2012 Penglin Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Whereas a variety of different feature-point matching approaches have been reported in computer vision, few feature-point matching approaches employed in images from nonrigid, nonuniform human tissues have been reported. The present work is concerned with interior deformation field measurement of complex human tissues from three-dimensional magnetic resonance (MR) volumetric images. To improve the reliability of matching results, this paper proposes composite match index (CMI) as the foundation of multimethod fusion methods to increase the reliability of these various methods. Thereinto, we discuss the definition, components, and weight determination of CMI. To test the validity of the proposed approach, it is applied to actual MR volumetric images obtained from a volunteer’s calf. The main result is consistent with the actual condition.