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Paper Abstract and Keywords
Presentation 2014-01-27 09:40
Lung tumor tracking based on thoracic 4D-MR image for radiation therapy
Shuhei Isa, Takashi Ohnishi (Chiba Univ.), Yoshitada Masuda (Chiba University Hospital), Hideaki Haneishi (Chiba Univ.) MI2013-92
Abstract (in Japanese) (See Japanese page) 
(in English) In radiotherapy in thoracic region, it is critically important to grasp the tumor motion due to respiration in order to avoid unnecessary exposure to healthy organ. In general, we track the tumor position with X-ray fluoroscopy. However, the tumor is sometimes hidden behind other organs and it makes the direct tracking very difficult. Clearly observed other organ can be used as a surrogate to estimate the tumor location in such case. In this paper, we propose an estimation scheme of tumor location with preoperative 4D-MRI. In this scheme, we first model the relationship between the tumor location and feature point location on diaphragm based on thoracic 4D-MRI. During treatment, tumor location is estimated from the diaphragm in the X-ray fluoroscopy. We estimated the accuracy of the proposed scheme through 4D-MRI of two healthy volunteers. As a result, we could predict the tumor location with accuracy of 0.38 [mm] on average if it is stable breathing.
Keyword (in Japanese) (See Japanese page) 
(in English) Radiotherapy / Tumor tracking / Surrogates / 4D-MRI / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 410, MI2013-92, pp. 199-204, Jan. 2014.
Paper # MI2013-92 
Date of Issue 2014-01-19 (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 2014-01-26 - 2014-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computer Assisted Diagnosis and Therapy Based on Computational Anatomy, etc. 
Paper Information
Registration To MI 
Conference Code 2014-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Lung tumor tracking based on thoracic 4D-MR image for radiation therapy 
Sub Title (in English)  
Keyword(1) Radiotherapy  
Keyword(2) Tumor tracking  
Keyword(3) Surrogates  
Keyword(4) 4D-MRI  
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1st Author's Name Shuhei Isa  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Takashi Ohnishi  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Yoshitada Masuda  
3rd Author's Affiliation Chiba University Hospital (Chiba University Hospital)
4th Author's Name Hideaki Haneishi  
4th Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2014-01-27 09:40:00 
Presentation Time 15 minutes 
Registration for MI 
Paper # MI2013-92 
Volume (vol) vol.113 
Number (no) no.410 
Page pp.199-204 
#Pages 6 
Date of Issue 2014-01-19 (MI) 

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