Paper Abstract and Keywords |
Presentation |
2011-07-12 14:40
Development of an ulcer detection method from 3D abdominal CT images for Crohn's disease diagnostic aid Masahiro Oda, Kazuhiro Furukawa (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Osamu Watanabe, Takafumi Ando, Hidemi Goto, Kensaku Mori (Nagoya Univ.) MI2011-37 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Cronh's disease is an inflammatory disease of the digestive tract. Symptoms of Crohn's disease includes ulcers and stenosis of the intestine.
An optical endoscope is used for small intestine examinations. However, endoscope cannot pass through intestinal stenosis parts in some cases. Image-based diagnosis methods of Crohn's disease are researched as alternative choice of conventional methods. This paper proposes an automated detection method of convex and concave parts on surface of ulcers from fecal tagging CT images. Ulcers on the intestinal wall cause small convex and concave parts on them. The proposed method detects the convex and the concave parts by using local intensity structure analysis technique. To reduce false positives of the detection results, we introduce a false positive reduction process using a roughness value. The roughness value evaluates the amount of concentration of the detected regions. Sensitivity of the proposed method was 88.2% with 74.1 false positives per case from experimental results using eleven cases of CT images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
CT image / Crohn's disease / computer aided diagnosis / small and large intestines / roughness value / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 127, MI2011-37, pp. 25-30, July 2011. |
Paper # |
MI2011-37 |
Date of Issue |
2011-07-05 (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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MI2011-37 |
Conference Information |
Committee |
MI |
Conference Date |
2011-07-12 - 2011-07-13 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
General Medical Imaging |
Paper Information |
Registration To |
MI |
Conference Code |
2011-07-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Development of an ulcer detection method from 3D abdominal CT images for Crohn's disease diagnostic aid |
Sub Title (in English) |
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Keyword(1) |
CT image |
Keyword(2) |
Crohn's disease |
Keyword(3) |
computer aided diagnosis |
Keyword(4) |
small and large intestines |
Keyword(5) |
roughness value |
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1st Author's Name |
Masahiro Oda |
1st Author's Affiliation |
Nagoya University (Nagoya Univ.) |
2nd Author's Name |
Kazuhiro Furukawa |
2nd Author's Affiliation |
Nagoya University (Nagoya Univ.) |
3rd Author's Name |
Takayuki Kitasaka |
3rd Author's Affiliation |
Aichi Institute of Technology (Aichi Inst. of Tech.) |
4th Author's Name |
Osamu Watanabe |
4th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
5th Author's Name |
Takafumi Ando |
5th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
6th Author's Name |
Hidemi Goto |
6th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
7th Author's Name |
Kensaku Mori |
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Nagoya University (Nagoya Univ.) |
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Speaker |
Author-1 |
Date Time |
2011-07-12 14:40:00 |
Presentation Time |
30 minutes |
Registration for |
MI |
Paper # |
MI2011-37 |
Volume (vol) |
vol.111 |
Number (no) |
no.127 |
Page |
pp.25-30 |
#Pages |
6 |
Date of Issue |
2011-07-05 (MI) |
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