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Paper Abstract and Keywords
Presentation 2016-02-22 10:45
Deep Learning Based 3D Medical Volume Super Resolution
Yuto Kondo, Qiaochu Zhao, Yutaro Iwamoto, Xian-Hua Han, Yan-Wei Chen (Ritsumeikan Univ.) ITS2015-61 IE2015-103
Abstract (in Japanese) (See Japanese page) 
(in English) In medical diagnosis, high resolution images are necessary. However, it often takes too much processing time for MRI(Magnetic Resonance Imaging) or CT(Computed Tomography) to obtain the high resolution images, which leads to a burden of capturing images for a patient. To solve this problem, super resolution is proposed to generate higher resolution images from lower ones arithmetically. On the other hand, deep learning, as an effective machine learning method has many applications in variety fields. In this research, we applied the deep learning technique for medical image super resolution. The validity of our method is verified in 2D medical images. In addition, our method is also applicable to 3D images and the super resolution images are used for reconstruction of coronal plane and sagittal plane. Experiments showed that the use of our proposed method achieves superior results tested on an axial plane database.
Keyword (in Japanese) (See Japanese page) 
(in English) Image Restoration / Super Resolution / Deep Learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 459, IE2015-103, pp. 29-34, Feb. 2016.
Paper # IE2015-103 
Date of Issue 2016-02-15 (ITS, IE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF ITS2015-61 IE2015-103

Conference Information
Conference Date 2016-02-22 - 2016-02-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2016-02-ITS-IE-AIT-HI-ME-MMS-CE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep Learning Based 3D Medical Volume Super Resolution 
Sub Title (in English)  
Keyword(1) Image Restoration  
Keyword(2) Super Resolution  
Keyword(3) Deep Learning  
1st Author's Name Yuto Kondo  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Qiaochu Zhao  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Yutaro Iwamoto  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
4th Author's Name Xian-Hua Han  
4th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
5th Author's Name Yan-Wei Chen  
5th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Date Time 2016-02-22 10:45:00 
Presentation Time 15 
Registration for IE 
Paper # IEICE-ITS2015-61,IEICE-IE2015-103 
Volume (vol) IEICE-115 
Number (no) no.458(ITS), no.459(IE) 
Page pp.29-34 
#Pages IEICE-6 
Date of Issue IEICE-ITS-2016-02-15,IEICE-IE-2016-02-15 

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