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Paper Abstract and Keywords
Presentation 2008-01-25 15:00
Computerized detection of multiple sclerosis lesions based on magnetic resonance imaging
Daisuke Yamamoto, Hidetaka Arimura (Kyushu Univ), Shingo Kakeda (Univ. of Occupational and Environmental Health), Taiki Magome (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) It is very important to evaluate the temporal change of multiple sclerosis (MS) lesions in terms of location, shape, and area for estimation of MS progression. The purpose of our study was to develop an automated method for detection of MS candidate regions based on three types of brain magnetic resonance (MR) images, i.e., T1-, T2-weighted images, and fluid attenuated inversion-recovery (FLAIR) images. We applied a proposed method to 49 slices of three MS cases including 168 MS lesions. As a result, the sensitivity for detection of MS regions was 82.1 %without false positives per slice, and MS regions detected by our method overlapped by 53.1 % on average with those determined by two neuroradiologists.
Keyword (in Japanese) (See Japanese page) 
(in English) computer-aided diagnosis (CAD) / multiple sclerosis (MS) / magnetic resonance imaging (MRI) / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 461, MI2007-97, pp. 177-180, Jan. 2008.
Paper # MI2007-97 
Date of Issue 2008-01-18 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee MI  
Conference Date 2008-01-25 - 2008-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Naha-Bunka-Tenbusu 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2008-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Computerized detection of multiple sclerosis lesions based on magnetic resonance imaging 
Sub Title (in English)  
Keyword(1) computer-aided diagnosis (CAD)  
Keyword(2) multiple sclerosis (MS)  
Keyword(3) magnetic resonance imaging (MRI)  
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1st Author's Name Daisuke Yamamoto  
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 Taiki Magome  
4th Author's Affiliation Kyushu University (Kyushu Univ)
5th Author's Name Yasuo Yamashita  
5th Author's Affiliation Kyushu University Hospital (Kyushu Univ. Hospital)
6th Author's Name Masafumi Ohki  
6th Author's Affiliation Kyushu University (Kyushu Univ)
7th Author's Name Fukai Toyofuku  
7th Author's Affiliation Kyushu University (Kyushu Univ)
8th Author's Name Yoshiharu Higashida  
8th Author's Affiliation Kyushu University (Kyushu Univ)
9th Author's Name Yukunori Korogi  
9th Author's Affiliation University of Occupational and Environmental Health (Univ. of Occupational and Environmental Health)
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Speaker
Date Time 2008-01-25 15:00:00 
Presentation Time 10 
Registration for MI 
Paper # IEICE-MI2007-97 
Volume (vol) IEICE-107 
Number (no) no.461 
Page pp.177-180 
#Pages IEICE-4 
Date of Issue IEICE-MI-2008-01-18 


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