NDLI: Quantification of age-related brain cortex change using 3D shape analysis

Content Provider	IEEE Xplore Digital Library
Author	Elnakib, A. Nitzken, M. Casanova, M.F. Park, H. Gimel'farb, G. El-Baz, A.
Copyright Year	2012
Description	Author affiliation: BioImaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, USA (Elnakib, A.; Nitzken, M.; Park, H.; El-Baz, A.) \|\| Department of Computer Science, University of Auckland, Auckland, New Zealand (Gimel'farb, G.) \|\| Department of Psychiatry and Behavioral Sciences University of Louisville, Louisville, KY, USA (Casanova, M.F.)
Abstract	To characterize the brain changes associated with aging, we detect brain cortex variability through a spherical harmonic analysis that represents a 3D surface supported by the unit sphere through a linear combination of special basis functions, called spherical harmonics (SHs). The proposed 3D shape analysis is carried out in four steps: (i) 3D Delau-nay triangulation to construct a 3D mesh model of the brain cortex surface; (ii) mapping this model to the unit sphere; (iii) computing the SHs for the surface; and (iv) calculating the area under the error reconstruction curve for the SHs to delineate the brain cortex. We describe the brain shape complexity with a new shape index, the estimated area under the error reconstruction curve for the SHs. The initial experiments on 187 male subjects (age range, 4–22 years) and the comparison results with the cortex volumetric index suggest that our shape index is a promising supplement to current metrics that characterize age-related brain changes.
Starting Page	41
Ending Page	44
File Size	1055370
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Shape Aging Indexes Approximation methods Image reconstruction Measurement Brain
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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