Paper Abstract and Keywords |
Presentation |
2007-09-20 14:45
Segmentation of white matter regions based on a level set method for multiple sclerosis Taiki Magome, Hidetaka Arimura (Kyushu Univ.), Shingo Kakeda (Univ. of Occupational and Environmental Health), Daisuke Yamamoto, Seiji Kumazawa, Fukai Toyofuku, Yoshiharu Higashida (Kyushu Univ.), Yukunori Korogi (Univ. of Occupational and Environmental Health) MI2007-44 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
It was reported that the atrophy in the cerebral white matter regions could correlate with MS progression. Our goal is to evaluate the MS progression by measuring white matter areas for diagnosis of MS. Current purpose of this study was to develop the automated method for extraction of the white matter regions. Our method was based on a level set method and the white matter regions were extracted by using the gradient value in the boundary between the white matter and gray matter regions. We applied our method to four MS cases, which has MR images acquired at two different study dates. As a result, the mean white matter area decreased by 0.6 - 10.4% from previous images to current images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
multiple sclerosis / level set method / magnetic resonance (MR) image / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 220, MI2007-44, pp. 49-50, Sept. 2007. |
Paper # |
MI2007-44 |
Date of Issue |
2007-09-13 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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MI2007-44 |
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