NDLI: Fuzzy-based segmentation of brain parenchymal regions with alzheimer's disease into cerebral cortex and white matter in 3.0-T magnetic resonance images

Content Provider	IEEE Xplore Digital Library
Author	Tokunaga, C. Arimura, H. Yoshiura, T. Yamashita, Y. Magome, T. Honda, H. Hirata, H. Toyofuku, F. Ohki, M.
Copyright Year	2010
Description	Author affiliation: Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Japan (Arimura, H.; Hirata, H.; Toyofuku, F.; Ohki, M.) \|\| Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Japan (Yoshiura, T.; Honda, H.) \|\| Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Japan (Tokunaga, C.; Yamashita, Y.; Magome, T.)
Abstract	It would be very important to estimate the degree of cerebral atrophy based on cortical regions for diagnosis of Alzheimer's disease (AD). However, it would be still challenging to segment brain parenchymal regions with AD into cerebral cortex and white matter when the boundary between them is unclear due to the presence of AD showing in magnetic resonance (MR) images. Our purpose of this study was to develop an automated segmentation of the brain parenchyma into cerebral cortical and white matter regions with AD in three-dimensional (3D) T1-weighted MR images. Our proposed method consisted of extraction of a brain parenchymal region based on a brain model matching and segmentation of the brain parenchyma into cerebral cortical and white matter regions based on a fuzzy c-means (FCM) algorithm. We applied the proposed method to MR images of the whole brain obtained from 9 cases, including 4 AD cases and 5 control cases. The mean volume percentages of the brain parenchymal region in the respective AD patients and controls were 41.7% and 45.2% for cortical cortex region, 58.3% and 54.8% for white matter region, respectively.
Starting Page	1
Ending Page	5
File Size	787482
Page Count	5
File Format	PDF
ISBN	9781424496730
ISSN	21544824
e-ISBN	9781889335421
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-19
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Hospitals fuzzy c-means (FCM) clustering Alzheimer's disease (AD) segmentation brain model matching
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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