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The Scientific World Journal
Volume 2014 (2014), Article ID 983871, 8 pages
http://dx.doi.org/10.1155/2014/983871
Research Article

Local Analysis of Human Cortex in MRI Brain Volume

1Université de Tunis El Manar, École Nationale d’Ingénieurs de Tunis, BP 37 Belvedere Tunis, 1002 Tunis, Tunisia
2College of Computers and Information Technology, Taif University, P.O. Box 888, Taif 21974, Saudi Arabia

Received 3 August 2013; Accepted 29 October 2013; Published 29 January 2014

Academic Editors: S. Bourennane and J. Marot

Copyright © 2014 Sami Bourouis. 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

This paper describes a method for subcortical identification and labeling of 3D medical MRI images. Indeed, the ability to identify similarities between the most characteristic subcortical structures such as sulci and gyri is helpful for human brain mapping studies in general and medical diagnosis in particular. However, these structures vary greatly from one individual to another because they have different geometric properties. For this purpose, we have developed an efficient tool that allows a user to start with brain imaging, to segment the border gray/white matter, to simplify the obtained cortex surface, and to describe this shape locally in order to identify homogeneous features. In this paper, a segmentation procedure using geometric curvature properties that provide an efficient discrimination for local shape is implemented on the brain cortical surface. Experimental results demonstrate the effectiveness and the validity of our approach.