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Paper Abstract and Keywords
Presentation 2015-03-03 13:40
Interactive organ region segmentation method based on the input of the fuzzy boundary information.
Takashi Matsumoto, Yoshiki Tomioka, Masahito Aoyama, Yoshitaka Masutani (Hiroshima City Univ.) MI2014-101
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose an interactive and semi-automated organ segmentation method for 3D medical images. First, fragments of organ boundary are drawn on arbitrary section images displayed in a touch panel device. Second, true boundary points and their normal are automatically estimated based on image features, and then interactive elimination of points of estimation error is performed. Finally, by using the boundary point coordinates and normal, the target shape is reconstructed as a volumetric image based on radial basis functions. In this study, we examined the method by using 5 CT datasets for liver segmentation, and obtained an average correspondence rate of 81.85% with gold standard volume obtained by manual input.
Keyword (in Japanese) (See Japanese page) 
(in English) interactive segmentation / radial basis functions / CT image / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 482, MI2014-101, pp. 233-236, March 2015.
Paper # MI2014-101 
Date of Issue 2015-02-23 (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)
Download PDF MI2014-101

Conference Information
Committee MI  
Conference Date 2015-03-02 - 2015-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Miyahira 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Creation of multidisciplinary computational anatomy, Forefront of medical image engineering, General topics in medical imaging 
Paper Information
Registration To MI 
Conference Code 2015-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Interactive organ region segmentation method based on the input of the fuzzy boundary information. 
Sub Title (in English)  
Keyword(1) interactive segmentation  
Keyword(2) radial basis functions  
Keyword(3) CT image  
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1st Author's Name Takashi Matsumoto  
1st Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
2nd Author's Name Yoshiki Tomioka  
2nd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
3rd Author's Name Masahito Aoyama  
3rd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
4th Author's Name Yoshitaka Masutani  
4th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
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Speaker Author-1 
Date Time 2015-03-03 13:40:00 
Presentation Time 80 minutes 
Registration for MI 
Paper # MI2014-101 
Volume (vol) vol.114 
Number (no) no.482 
Page pp.233-236 
#Pages 4 
Date of Issue 2015-02-23 (MI) 

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