Paper Abstract and Keywords |
Presentation |
2014-01-27 13:30
Improvement of CAD scheme for detection of lacunar infarcts in MR images using AdaBoost template matching Ayaka Tanigawa (Gifu Univ.), Yoshikazu Uchiyama (Kumamoto Univ.), Chisako Muramatsu, Takeshi Hara (Gifu Univ.), Junji Shiraishi (Kumamoto Univ.), Hiroshi Fujita (Gifu Univ.) MI2013-117 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Asymptomatic lacunar infarcts are often detected in MR images at the health check system for brain diseases. The existence of lacunar infarcts increases the risk of severe cerebral infarctions, and thus their accurate detection is important. However, the identification of all lacunar infarcts is difficult. Therefore, we developed a CAD scheme for the detection of lacunar infarcts. The performance of our previous method indicated that the sensitivity of 96.8% in detection with 0.76 false positive (FP) per slice. Further reduction of FPs was remained as an issue to be solved for the clinical application. In this paper, we proposed AdaBoost template matching technique. By using this technique, 52.9% FPs were eliminated while keeping the same sensitivity. Thus our proposed method found to be useful for sophistication of the automatic detection of lacunar infarcts in MR images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Computer-aided diagnosis / Lacunar infarcts / AdaBoost template matching / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 410, MI2013-117, pp. 323-326, Jan. 2014. |
Paper # |
MI2013-117 |
Date of Issue |
2014-01-19 (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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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MI2013-117 |
Conference Information |
Committee |
MI |
Conference Date |
2014-01-26 - 2014-01-27 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Bunka Tenbusu Kan |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Computer Assisted Diagnosis and Therapy Based on Computational Anatomy, etc. |
Paper Information |
Registration To |
MI |
Conference Code |
2014-01-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Improvement of CAD scheme for detection of lacunar infarcts in MR images using AdaBoost template matching |
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Computer-aided diagnosis |
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Lacunar infarcts |
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AdaBoost template matching |
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1st Author's Name |
Ayaka Tanigawa |
1st Author's Affiliation |
Gifu University (Gifu Univ.) |
2nd Author's Name |
Yoshikazu Uchiyama |
2nd Author's Affiliation |
Kumamoto University (Kumamoto Univ.) |
3rd Author's Name |
Chisako Muramatsu |
3rd Author's Affiliation |
Gifu University (Gifu Univ.) |
4th Author's Name |
Takeshi Hara |
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Gifu University (Gifu Univ.) |
5th Author's Name |
Junji Shiraishi |
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Kumamoto University (Kumamoto Univ.) |
6th Author's Name |
Hiroshi Fujita |
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Gifu University (Gifu Univ.) |
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Speaker |
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Date Time |
2014-01-27 13:30:00 |
Presentation Time |
45 minutes |
Registration for |
MI |
Paper # |
MI2013-117 |
Volume (vol) |
vol.113 |
Number (no) |
no.410 |
Page |
pp.323-326 |
#Pages |
4 |
Date of Issue |
2014-01-19 (MI) |
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