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Paper Abstract and Keywords
Presentation 2017-06-23 11:00
Similar CT image retrieval method based on lesion natures and their three-dimensional distribution
Hiroaki Takebe, Yasutaka Moriwaki, Takayuki Baba (FUJITSU LAB.), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Akio Ozawa, Kohei Murao, Yasuharu Ogino (FUJITSU), Mengjiao Wang, Rujie Liu (FRDC) PRMU2017-35 SP2017-11
Abstract (in Japanese) (See Japanese page) 
(in English) When radiologists encounter a difficult case to diagnose, retrieval of morphologically similar cases in which final diagnosis is established may provide clinically useful information. Existing methods retrieve similar cases for each case in which lesions exist within a certain range of region by calculating similarity for the region specified on a slice image of the query case. However, radiologists diagnose cases of diffuse lung disease (DLD) where lesions appear throughout lungs by observing 3D distribution of lesion textures. We propose a novel method which can retrieve morphologically similar cases based on radiologist’s view for lesion textures and their 3-dimensional (3D) distribution. In our method, we configured a 3D model for central-peripheral regions of a lung and calculated similarity for 3D distribution of lesions using the 3D model. We evaluated the average precision of the proposed method for real CT images, and the experimental result showed that our method improved the accuracy compared with the comparative method.
Keyword (in Japanese) (See Japanese page) 
(in English) Image diagnosis / CT image / Diffuse lung disease / Similar case retrieval / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 105, PRMU2017-35, pp. 57-62, June 2017.
Paper # PRMU2017-35 
Date of Issue 2017-06-15 (PRMU, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 PRMU SP  
Conference Date 2017-06-22 - 2017-06-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2017-06-PRMU-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Similar CT image retrieval method based on lesion natures and their three-dimensional distribution 
Sub Title (in English)  
Keyword(1) Image diagnosis  
Keyword(2) CT image  
Keyword(3) Diffuse lung disease  
Keyword(4) Similar case retrieval  
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1st Author's Name Hiroaki Takebe  
1st Author's Affiliation FUJITSU LABORATORIES LTD. (FUJITSU LAB.)
2nd Author's Name Yasutaka Moriwaki  
2nd Author's Affiliation FUJITSU LABORATORIES LTD. (FUJITSU LAB.)
3rd Author's Name Takayuki Baba  
3rd Author's Affiliation FUJITSU LABORATORIES LTD. (FUJITSU LAB.)
4th Author's Name Hiroaki Terada  
4th Author's Affiliation HIROSHIMAUNIVERSITY (Hiroshima Univ.)
5th Author's Name Toru Higaki  
5th Author's Affiliation HIROSHIMAUNIVERSITY (Hiroshima Univ.)
6th Author's Name Kazuo Awai  
6th Author's Affiliation HIROSHIMAUNIVERSITY (Hiroshima Univ.)
7th Author's Name Akio Ozawa  
7th Author's Affiliation FUJITSU LIMITED (FUJITSU)
8th Author's Name Kohei Murao  
8th Author's Affiliation FUJITSU LIMITED (FUJITSU)
9th Author's Name Yasuharu Ogino  
9th Author's Affiliation FUJITSU LIMITED (FUJITSU)
10th Author's Name Mengjiao Wang  
10th Author's Affiliation FRDC (FRDC)
11th Author's Name Rujie Liu  
11th Author's Affiliation FRDC (FRDC)
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Speaker Author-1 
Date Time 2017-06-23 11:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2017-35, SP2017-11 
Volume (vol) vol.117 
Number (no) no.105(PRMU), no.106(SP) 
Page pp.57-62 
#Pages
Date of Issue 2017-06-15 (PRMU, SP) 


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