Paper Abstract and Keywords |
Presentation |
2009-01-21 09:50
[Poster Presentation]
Computerized Detection of Multiple Sclerosis Lesions based on 3.0 T Two-dimensional Magnetic Resonance Images 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) MI2008-171 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The assessment of multiple sclerosis (MS) lesions would be a demanding and time-consuming task, because MS lesions present temporal changes in terms of shape, location and area. Therefore, the purpose of our study was to develop an automated method for detection of MS candidate regions in brain 3.0 Tesla two-dimensional magnetic resonance (MR) images. We applied a proposed method to 49 slices selected from 6 studies of three MS patients including 168 MS lesions. As a result, the sensitivity for detection of MS regions was 81.5 % with 2.9 false positives per slice based on a leave-one-candidate-out test. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
computer-aided diagnosis (CAD) / multiple sclerosis (MS) / magnetic resonance (MR) images / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 385, MI2008-171, pp. 505-506, Jan. 2009. |
Paper # |
MI2008-171 |
Date of Issue |
2009-01-12 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2008-171 |
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