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Paper Abstract and Keywords
Presentation 2013-01-24 16:35
A Study on Multiple Organ Segmentation from 3D CT Images Based on Normalization Method and Patient-Specific Probabilistic Map
Chengwen Chu, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Michitaka Fujiwara, Yuichiro Hayashi, Kensaku Mori (Nagoya Univ.) MI2012-89
Abstract (in Japanese) (See Japanese page) 
(in English) Organ segmentation from 3D abdominal CT database is a difficult process due to the large differences among patients in organ size and location. It is necessary to normalize physical size for each CT data in the database if CT database is utilized for organ segmentation. In this paper, we propose a new normalization method on physical size. Also, we incorporate it into a patient-specific atlas based method for multi-organ segmentation. Firstly, we roughly extract lung and kidney areas to normalize the physical sizes of the CT images in database. We dynamically generate a patient-specific probabilistic atlas for each new target image by using the normalized CT database. We roughly segment the organ region based on the probabilistic atlas and refine it by using a graph-cuts
method. Experimental results showed that our approach can segment the liver, the spleen, the pancreas, and the
kidney correctly with Jaccard indices of 95.1%, 91.4%, 69.1%, and 90.1%, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) CT image / segmentation / normalization of physical size / patient-specific probabilistic atlas / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 411, MI2012-89, pp. 139-144, Jan. 2013.
Paper # MI2012-89 
Date of Issue 2013-01-17 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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)
Download PDF MI2012-89

Conference Information
Committee MI  
Conference Date 2013-01-24 - 2013-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computational anatomy and its application to computer assisted diagnosis and therapy, etc 
Paper Information
Registration To MI 
Conference Code 2013-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Multiple Organ Segmentation from 3D CT Images Based on Normalization Method and Patient-Specific Probabilistic Map 
Sub Title (in English)  
Keyword(1) CT image  
Keyword(2) segmentation  
Keyword(3) normalization of physical size  
Keyword(4) patient-specific probabilistic atlas  
1st Author's Name Chengwen Chu  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Masahiro Oda  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Takayuki Kitasaka  
3rd Author's Affiliation Aichi Institute of Technology (AIT)
4th Author's Name Kazunari Misawa  
4th Author's Affiliation Aichi Cancer Center Aichi Cancer Center (ACC)
5th Author's Name Michitaka Fujiwara  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Yuichiro Hayashi  
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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Date Time 2013-01-24 16:35:00 
Presentation Time 15 
Registration for MI 
Paper # IEICE-MI2012-89 
Volume (vol) IEICE-112 
Number (no) no.411 
Page pp.139-144 
#Pages IEICE-6 
Date of Issue IEICE-MI-2013-01-17 

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