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Paper Abstract and Keywords
Presentation 2012-01-19 16:15
Automated lung lobe segmentation from 3D chest CT images based on fissure enhancement and lobulation stastical shape model
Naomi Matsuo, Toshiyuki Okada, Shodayu Takashima, Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2011-112
Abstract (in Japanese) (See Japanese page) 
(in English) Understanding shape of lobulation is necessary for diagnosis and planning for limited surgery of lung cancer, but it is difficult because of a great variety of lobulation. In this study, we constructed lobulation statistical shape model in order to analyze its variety. We studied automated lung lobe segmentation using fissure enhancement and model fitting. We applied proposed method to 30 non-contrast-enhanced chest CT images without lesion. The result of segmentation by the proposed method was validated by comparing with the result of hand-operated method. As the result, surface error was 1.60±0.70 cm, and volume overlap was 89.1±4.1 %.
Keyword (in Japanese) (See Japanese page) 
(in English) Plane Enhancement Filter / Statistical Atlas / Segmentation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 389, MI2011-112, pp. 191-196, Jan. 2012.
Paper # MI2011-112 
Date of Issue 2012-01-12 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 2012-01-19 - 2012-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2012-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automated lung lobe segmentation from 3D chest CT images based on fissure enhancement and lobulation stastical shape model 
Sub Title (in English)  
Keyword(1) Plane Enhancement Filter  
Keyword(2) Statistical Atlas  
Keyword(3) Segmentation  
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1st Author's Name Naomi Matsuo  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Toshiyuki Okada  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Shodayu Takashima  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Noriyuki Tomiyama  
4th Author's Affiliation Osaka University (Osaka Univ.)
5th Author's Name Yoshinobu Sato  
5th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker
Date Time 2012-01-19 16:15:00 
Presentation Time 15 
Registration for MI 
Paper # IEICE-MI2011-112 
Volume (vol) IEICE-111 
Number (no) no.389 
Page pp.191-196 
#Pages IEICE-6 
Date of Issue IEICE-MI-2012-01-12 


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