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Paper Abstract and Keywords
Presentation 2007-05-24 10:30
Improvement of lung lobe devision method from 3D chest CT images
Takayuki Kitasaka, Yuichi Nakada, Kensaku Mori, Yasuhito Suenaga (Nagoya Univ.), Hirotsugu Takabatake (Sapporo Minami-sanjo Hospital), Masaki Mori (Sapporo Kosei General Hospital), Hiroshi Natori (Nishioka Hospital) PRMU2007-5 MI2007-5
Abstract (in Japanese) (See Japanese page) 
(in English) In the lung lobe division from 3D chest CT images, methods based on the surface fitting technique or distribution features of blood vessels have been reported so far.
However, there are some problems that segmentation accuracy of lung lobes heavily depends on accuracy of the pulmonary fissure extraction and that the methods cannot cope with cases of {\it incomplete fissure}.
This paper proposes a novel method for dividing a lung region into lung lobes based on a figure decomposition algorithm. First, the proposed method extracts pulmonary fissures by enhancing them analyzing local intensity structures. Then, constrictions are generated by subtracting the extracted fissure regions from a lung region. Lung lobe regions are segmented by a figure decomposition algorithm based on the constrictions. This approach enables to segment lobe regions accurately even if over-extraction regions of pulmonary fissures exist. As the results of experiments for artificial figures mimicking the lung and fourteen cases of 3D chest CT images, the proposed method could segment lung lobe regions more accurate than a previous method.
Keyword (in Japanese) (See Japanese page) 
(in English) lung lobe division / Euclidean distance / pulmonary fissure / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 58, MI2007-5, pp. 23-28, May 2007.
Paper # MI2007-5 
Date of Issue 2007-05-17 (PRMU, 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 PRMU2007-5 MI2007-5

Conference Information
Committee PRMU MI  
Conference Date 2007-05-24 - 2007-05-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Mie Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2007-05-PRMU-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of lung lobe devision method from 3D chest CT images 
Sub Title (in English)  
Keyword(1) lung lobe division  
Keyword(2) Euclidean distance  
Keyword(3) pulmonary fissure  
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1st Author's Name Takayuki Kitasaka  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Yuichi Nakada  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Kensaku Mori  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Yasuhito Suenaga  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Hirotsugu Takabatake  
5th Author's Affiliation Sapporo Minami-sanjo Hospital (Sapporo Minami-sanjo Hospital)
6th Author's Name Masaki Mori  
6th Author's Affiliation Sapporo Kosei General Hospital (Sapporo Kosei General Hospital)
7th Author's Name Hiroshi Natori  
7th Author's Affiliation Keiwakai Nishioka Hospital (Nishioka Hospital)
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Speaker Author-1 
Date Time 2007-05-24 10:30:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # PRMU2007-5, MI2007-5 
Volume (vol) vol.107 
Number (no) no.57(PRMU), no.58(MI) 
Page pp.23-28 
#Pages 6 
Date of Issue 2007-05-17 (PRMU, MI) 

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