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Paper Abstract and Keywords
Presentation 2023-03-07 17:55
A centerline-based post-processing for detecting intestinal obstructions in CT volumes
Sirui Chen (Nagoya Univ.), Hirohisa oda (UoS), Qin An, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (AIT), Aitaro Takimoto, Akinari Hinoki, Nagoya Univ. (Nagoya Univ.), Kojiro Suzuki (AIC), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-130
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an efficient post-processing method for intestinal obstruction detection in CT volumes. Intestinal obstruction is a disease that normal flow moving through the intestines is interrupted. Clinicians usually detect intestinal obstruction by manually tracking the intestines, which is difficult and time-consuming. Therefore, a computer-aided detection (CADe) system for intestinal obstruction is necessary to assist in diagnosis. Even though we can obtain the intestine structure from the segmentation result, it is still unclear to find intestinal obstruction based on the result. We extract the 3D centerlines from the predicted intestines regions from the intestine segmentation model. And then we find intestinal obstruction candidates on the refined centerlines, which are refined by the graph theroy.
Keyword (in Japanese) (See Japanese page) 
(in English) Intestine Segmentation / Intestinal Obstruction / 3D Object Thinning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 417, MI2022-130, pp. 223-228, March 2023.
Paper # MI2022-130 
Date of Issue 2023-02-27 (MI) 
ISSN 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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Conference Information
Committee MI  
Conference Date 2023-03-06 - 2023-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWA SEINENKAIKAN 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2023-03-MI 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A centerline-based post-processing for detecting intestinal obstructions in CT volumes 
Sub Title (in English)  
Keyword(1) Intestine Segmentation  
Keyword(2) Intestinal Obstruction  
Keyword(3) 3D Object Thinning  
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1st Author's Name Sirui Chen  
1st Author's Affiliation Nagoya Uinversity (Nagoya Univ.)
2nd Author's Name Hirohisa oda  
2nd Author's Affiliation University of Shizuoka (UoS)
3rd Author's Name Qin An  
3rd Author's Affiliation Nagoya Uinversity (Nagoya Univ.)
4th Author's Name Yuichiro Hayashi  
4th Author's Affiliation Nagoya Uinversity (Nagoya Univ.)
5th Author's Name Takayuki Kitasaka  
5th Author's Affiliation Aichi Institute of Technology (AIT)
6th Author's Name Aitaro Takimoto  
6th Author's Affiliation Nagoya Uinversity (Nagoya Univ.)
7th Author's Name Akinari Hinoki  
7th Author's Affiliation Nagoya Uinversity (Nagoya Univ.)
8th Author's Name Nagoya Univ.  
8th Author's Affiliation Nagoya Uinversity (Nagoya Univ.)
9th Author's Name Kojiro Suzuki  
9th Author's Affiliation Aichi Medical University (AIC)
10th Author's Name Masahiro Oda  
10th Author's Affiliation Nagoya Uinversity (Nagoya Univ.)
11th Author's Name Kensaku Mori  
11th Author's Affiliation Nagoya Uinversity (Nagoya Univ.)
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Speaker Author-1 
Date Time 2023-03-07 17:55:00 
Presentation Time 13 minutes 
Registration for MI 
Paper # MI2022-130 
Volume (vol) vol.122 
Number (no) no.417 
Page pp.223-228 
#Pages 6 
Date of Issue 2023-02-27 (MI) 

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