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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
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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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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)  
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  
7th Author's Affiliation 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
Date of Issue 2011-07-05 (MI) 


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