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Paper Abstract and Keywords
Presentation 2009-01-19 11:05
Automated method for segmentation of white matter and gray matter regions with multiple sclerosis in 3T MR images
Taiki Magome, Hidetaka Arimura (Kyushu Univ.), Shingo Kakeda (Univ. of Occupational and Environmental Health), Daisuke Yamamoto, Yasuo Kawata (Kyushu Univ.), Yasuo Yamashita (Kyushu Univ. Hospital), Masafumi Ohki, Fukai Toyofuku, Yoshiharu Higashida (Kyushu Univ.), Yukunori Korogi (Univ. of Occupational and Environmental Health)
Abstract (in Japanese) (See Japanese page) 
(in English) The atrophy of white matter (WM) and gray matter (GM) in multiple sclerosis (MS) could be associated with the progression of MS. Our aim of this study was to develop an automated method for segmentation of WM and GM regions. Our method for segmentation of WM regions was based on a level set method and filling in holes with MS regions detected by our computer-aided detection (CAD) system. As a result, the degree of coincidence between regions obtained by our method and neuroradiologists was 91% on average for whole brain regions, 75% for WM regions, and 71% for GM regions.
Keyword (in Japanese) (See Japanese page) 
(in English) multiple sclerosis / atrophy / white matter / gray matter / segmentation / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 385, MI2008-58, pp. 9-10, Jan. 2009.
Paper # MI2008-58 
Date of Issue 2009-01-12 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee MI  
Conference Date 2009-01-19 - 2009-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) National Taiwan University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2009-01-MI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automated method for segmentation of white matter and gray matter regions with multiple sclerosis in 3T MR images 
Sub Title (in English)  
Keyword(1) multiple sclerosis  
Keyword(2) atrophy  
Keyword(3) white matter  
Keyword(4) gray matter  
Keyword(5) segmentation  
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Keyword(8)  
1st Author's Name Taiki Magome  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Hidetaka Arimura  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Shingo Kakeda  
3rd Author's Affiliation University of Occupational and Environmental Health (Univ. of Occupational and Environmental Health)
4th Author's Name Daisuke Yamamoto  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
5th Author's Name Yasuo Kawata  
5th Author's Affiliation Kyushu University (Kyushu Univ.)
6th Author's Name Yasuo Yamashita  
6th Author's Affiliation Kyushu University Hospital (Kyushu Univ. Hospital)
7th Author's Name Masafumi Ohki  
7th Author's Affiliation Kyushu University (Kyushu Univ.)
8th Author's Name Fukai Toyofuku  
8th Author's Affiliation Kyushu University (Kyushu Univ.)
9th Author's Name Yoshiharu Higashida  
9th Author's Affiliation Kyushu University (Kyushu Univ.)
10th Author's Name Yukunori Korogi  
10th Author's Affiliation University of Occupational and Environmental Health (Univ. of Occupational and Environmental Health)
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Speaker
Date Time 2009-01-19 11:05:00 
Presentation Time 10 
Registration for MI 
Paper # IEICE-MI2008-58 
Volume (vol) IEICE-108 
Number (no) no.385 
Page pp.9-10 
#Pages IEICE-2 
Date of Issue IEICE-MI-2009-01-12 


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