Composite match index with application of interior deformation field measurement from magnetic resonance volumetric images of human tissues

Authors:
Penglin Zhang;Xubing Zhang;Jiangping Chen
Affiliations:
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China;College of Mathematics and Computer Science, Wuhan Textile University, Wuhan, China;School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
Venue:
Computational Intelligence and Neuroscience - Special issue on Computational Intelligence in Biomedical Science and Engineering
Year:
2012

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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.