NDLI: Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease

Content Provider	IEEE Xplore Digital Library
Author	Arimura, H. Tokunaga, C. Yoshiura, T. Ohara, T. Yamashita, Y. Toyofuku, F.
Copyright Year	2013
Description	Author affiliation: Kyushu Univ., Fukuoka, Japan (Arimura, H.; Yoshiura, T.; Ohara, T.; Toyofuku, F.) \|\| Kyushu Univ. Hosp., Fukuoka, Japan (Tokunaga, C.; Yamashita, Y.)
Abstract	We have proposed an automated method for three-dimensional (3D) measurement of cerebral cortical thicknesses based on fuzzy membership maps derived from magnetic resonance (MR) images for evaluation of Alzheimer's disease (AD). The cerebral cortical thickness was three-dimensionally measured on each cortical surface voxel by using a localized gradient vector trajectory in a fuzzy membership map. The proposed method could be useful for the 3D measurement of the cerebral cortical thickness on individual cortical surface voxels as an atrophy feature in AD.
Starting Page	7116
Ending Page	7119
File Size	569175
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6611198
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Three-dimensional displays Thickness measurement Brain modeling Trajectory Alzheimer's disease Atrophy
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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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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