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Paper Abstract and Keywords
Presentation 2013-01-24 13:10
Computer-aided Delineation of Lung Tumor Regions in Treatment Planning CT Images and PET/CT Images Using Localized Level Set Approach
Ze Jin, Hidetaka Arimura, Yoshiyuki Shioyama (Kyushu Univ.), Jumpei Kuwazuru (Medipolis Proton Therapy and Research Center), Taiki Magome, Katsumasa Nakamura, Hiroshi Honda, Fukai Toyofuku, Hideki Hirata, Masayuki Sasaki (Kyushu Univ.) MI2012-71
Abstract (in Japanese) (See Japanese page) 
(in English) [Purpose]
The purpose of this study was to develop an automated delineation method of lung tumor regions in treatment planning computed tomography (CT) images and positron emission tomography (PET)/CT images using a localized level set approach.
[Methods]
Six data sets of treatment planning CT and PET/CT images of lung cancer patients were selected for this study. The PET images were registered to the planning CT images by using an affine transformation matrix, which was the same transformation matrix derived from registration between the planning CT images and CT images of PET/CT images. The initial regions of the lung tumors were identified by thresholding the PET images at a certain standardized uptake value (SUV). We proposed a localized level set method (LLSM), which determines an optimum contour of the GTV region. For performance evaluation, we employed the Dice similarity coefficient (DSC), which denotes the degree of region similarity between the gold standard of the GTV contoured by radiation oncologists and the GTV region extracted by the proposed method.
[Results and Conclusion]
Our proposed method was applied to the six data sets, and reached an average DSC of 0.77. The proposed method may be useful for assisting treatment planners in delineation of the tumor region.
Keyword (in Japanese) (See Japanese page) 
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Reference Info. IEICE Tech. Rep., vol. 112, no. 411, MI2012-71, pp. 49-51, Jan. 2013.
Paper # MI2012-71 
Date of Issue 2013-01-17 (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)
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Conference Information
Committee MI  
Conference Date 2013-01-24 - 2013-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computational anatomy and its application to computer assisted diagnosis and therapy, etc 
Paper Information
Registration To MI 
Conference Code 2013-01-MI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Computer-aided Delineation of Lung Tumor Regions in Treatment Planning CT Images and PET/CT Images Using Localized Level Set Approach 
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1st Author's Name Ze Jin  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Hidetaka Arimura  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Yoshiyuki Shioyama  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Jumpei Kuwazuru  
4th Author's Affiliation Medipolis Proton Therapy and Research Center (Medipolis Proton Therapy and Research Center)
5th Author's Name Taiki Magome  
5th Author's Affiliation Kyushu University (Kyushu Univ.)
6th Author's Name Katsumasa Nakamura  
6th Author's Affiliation Kyushu University (Kyushu Univ.)
7th Author's Name Hiroshi Honda  
7th Author's Affiliation Kyushu University (Kyushu Univ.)
8th Author's Name Fukai Toyofuku  
8th Author's Affiliation Kyushu University (Kyushu Univ.)
9th Author's Name Hideki Hirata  
9th Author's Affiliation Kyushu University (Kyushu Univ.)
10th Author's Name Masayuki Sasaki  
10th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2013-01-24 13:10:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MI2012-71 
Volume (vol) vol.112 
Number (no) no.411 
Page pp.49-51 
#Pages 3 
Date of Issue 2013-01-17 (MI) 

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