NDLI: Overcoming the ill-balanced data problem in functional MRI clustering analysis

Content Provider	IEEE Xplore Digital Library
Author	Monir, S.M.G. Siyal, M.Y. Maheshwari, H.K.
Copyright Year	2009
Description	Author affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore (Monir, S.M.G.; Siyal, M.Y.; Maheshwari, H.K.)
Abstract	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 reducing the number of voxels to be processed by the clustering algorithm. We divide the functional data into small overlapping regions and decide the presence or absence of functional activity in a region, on the basis of condition number of a matrix constructed from the feature vectors of the voxel in that region. Only the regions that are potentially active are retained for clustering analysis. Results are presented for both simulated and real data and advocate that the proposed method effectively solves the ill-balanced data problem.
Starting Page	1
Ending Page	4
File Size	417032
Page Count	4
File Format	PDF
ISBN	9781424446568
DOI	10.1109/ICICS.2009.5397625
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic resonance imaging Clustering algorithms Image analysis Magnetic analysis Brain Data analysis Data engineering Autocorrelation Humans Image sequences ill-balanced data clustering fMRI
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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