Cart (Loading....) | Create Account
Close category search window
 

A region homogeneity approach to overcome the ill-balanced data problem in functional MRI clustering analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Monir, S.M.G. ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore ; Siyal, M.Y.

In functional magnetic resonance imaging (fMRI) data, activated voxels are usually very small in number and are embedded in a mass of inactive voxels. For clustering analysis, this situation generates an ill-balanced data problem among different classes of voxels. In this paper we propose a novel method to overcome the ill-balanced data problem by eliminating the inactive voxels prior to the application of the clustering algorithm. The proposed method is based on a region homogeneity criterion in which the homogeneity is determined on the basis of the variance explained by the first principal component in the principal component analysis (PCA) of a given voxel and its neighbors. We present the results of application of the proposed method for both simulated and real fMRI data. The results advocate that the proposed method effectively solves the ill-balanced data problem by eliminating most of the inactive voxels while retaining the functionally active voxels.

Published in:

Applied Sciences in Biomedical and Communication Technologies, 2009. ISABEL 2009. 2nd International Symposium on

Date of Conference:

24-27 Nov. 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.