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) MI2007-97 |
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 |
Copyright and reproduction |
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MI2007-97 |
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