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Paper Abstract and Keywords
Presentation 2015-03-03 13:40
Target Extraction from X-ray Image Sequence by using Gaussian Mixture Model for Lung Tumor Tracking
Naoki Shibusawa, Kei Ichiji, Yusuke Yoshida, Xiaoyang Zhang, Noriyasu Homma (Tohoku Univ.), Yoshihiro Takai (Hirosaki Univ.), Makoto Yoshizawa (Tohoku Univ.) MI2014-110
Abstract (in Japanese) (See Japanese page) 
(in English) During treatment fraction, accurate tracking of moving tumor by using X-ray imaging is important for radiation therapy.
However, superimposition of tumor and other structure in X-ray image can reduce tracking accuracy.
In this study, a moving target extraction method taken into account the transparent characteristic of X-ray by using Gaussian mixture model (GMM) was evaluated by using an X-ray image sequence of a 3D printed dynamic phantom based on clinical CT volume data.
In comparison with other method, the moving target extracted by the GMM-based method was similar to the original phantom and improved tracking accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) radiation therapy / respiratory motion / tumor tracking / Gaussian mixture model / background subtraction / 3D printer / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 482, MI2014-110, pp. 277-282, March 2015.
Paper # MI2014-110 
Date of Issue 2015-02-23 (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 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) Target Extraction from X-ray Image Sequence by using Gaussian Mixture Model for Lung Tumor Tracking 
Sub Title (in English)  
Keyword(1) radiation therapy  
Keyword(2) respiratory motion  
Keyword(3) tumor tracking  
Keyword(4) Gaussian mixture model  
Keyword(5) background subtraction  
Keyword(6) 3D printer  
Keyword(7)  
Keyword(8)  
1st Author's Name Naoki Shibusawa  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Kei Ichiji  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Yusuke Yoshida  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
4th Author's Name Xiaoyang Zhang  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
5th Author's Name Noriyasu Homma  
5th Author's Affiliation Tohoku University (Tohoku Univ.)
6th Author's Name Yoshihiro Takai  
6th Author's Affiliation Hirosaki University (Hirosaki Univ.)
7th Author's Name Makoto Yoshizawa  
7th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker
Date Time 2015-03-03 13:40:00 
Presentation Time 80 
Registration for MI 
Paper # IEICE-MI2014-110 
Volume (vol) IEICE-114 
Number (no) no.482 
Page pp.277-282 
#Pages IEICE-6 
Date of Issue IEICE-MI-2015-02-23 


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