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Paper Abstract and Keywords
Presentation 2015-07-14 14:30
Liver Segmentation Using Iterative Probabilistic Atlas and Template Matching Technique
Yingbo LI, Chunhua Dong, Tomoko Tateyama, Yen-Wei Chen (Ritsumeikan Univ) MI2015-34
Abstract (in Japanese) (See Japanese page) 
(in English) Accurate segmentation of abdominal organs is an important step for understanding the human body anatomical structure in the computer-aided diagnosis system. Probabilistic atlas, based on the anatomical structure, can be used for organ segmentation in the Bayesian framework. However, probabilistic atlas-based liver segmentation poses a number of challenges. Firstly, the challenge is how to accurately register the probabilistic atlas to the patient volume. Secondly, the conventional probabilistic atlas may introduce bias toward that specific patient study because of registering to a single reference. Taking these into consideration, we propose a novel algorithm for liver segmentation using the Iterative probabilistic atlas and template matching. Experimental results indicate that the efficiency and effectiveness of our proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Computer-aided diagnosis / Iterative probabilistic atlas / Template matching / Liver segmentation / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 139, MI2015-34, pp. 13-17, July 2015.
Paper # MI2015-34 
Date of Issue 2015-07-07 (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 MI2015-34

Conference Information
Committee MI  
Conference Date 2015-07-14 - 2015-07-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Sun Refle Hakodate 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ICT and Medical Imaging, General topics 
Paper Information
Registration To MI 
Conference Code 2015-07-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Liver Segmentation Using Iterative Probabilistic Atlas and Template Matching Technique 
Sub Title (in English)  
Keyword(1) Computer-aided diagnosis  
Keyword(2) Iterative probabilistic atlas  
Keyword(3) Template matching  
Keyword(4) Liver segmentation  
1st Author's Name Yingbo LI  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
2nd Author's Name Chunhua Dong  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
3rd Author's Name Tomoko Tateyama  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
4th Author's Name Yen-Wei Chen  
4th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
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Date Time 2015-07-14 14:30:00 
Presentation Time 30 
Registration for MI 
Paper # IEICE-MI2015-34 
Volume (vol) IEICE-115 
Number (no) no.139 
Page pp.13-17 
#Pages IEICE-5 
Date of Issue IEICE-MI-2015-07-07 

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