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Paper Abstract and Keywords
Presentation 2010-02-16 10:50
Detection of Abnormality in Brain using Structural Features on Phase Images of Super-low Field MRI
Yuko Ouchi, Ikuko Uwano, Masashi Kameda (Iwate Pref. Univ.), Shunrou Fujiwara (Iwate Med. Univ.) ITS2009-74 IE2009-168
Abstract (in Japanese) (See Japanese page) 
(in English) In our study, we have proposed a new MRI device to find out any brain diseases even if people don’t come to hospital. The output of the proposed device is a set of super-low field MR images which are indistinct in comparison with the previous MR images. Therefore, it is difficult to detect brain diseases from the super-low field MR images by the conventional detection measures. This paper presents a method to detect abnormality from the super-low field brain MR images of patients. Usually, super-low field magnitude images have been used to detect any abnormality in the brain. However, the detection of abnormality in the brain has been difficult at the complicated structure area such as the sulcus. In order to solve the problem, we have focused on phase images. In the proposed method, the subband to detect the abnormality easily is determined by partitioning the super-low field phase images into some subbands, and the detection method is developed for the obtained subband phase images. It is seen in our experiments that the abnormality in the brain is distinguished using both results of super-low field magnitude images and super-low field phase images.
Keyword (in Japanese) (See Japanese page) 
(in English) Brain / Super-low Field MR Images / Abnormality Detection / Magnitude Images / Phase Images / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 415, IE2009-168, pp. 209-214, Feb. 2010.
Paper # IE2009-168 
Date of Issue 2010-02-08 (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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF ITS2009-74 IE2009-168

Conference Information
Conference Date 2010-02-15 - 2010-02-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Graduate School of Information and Technology, Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2010-02-AIT-IE-HI-ME-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detection of Abnormality in Brain using Structural Features on Phase Images of Super-low Field MRI 
Sub Title (in English)  
Keyword(1) Brain  
Keyword(2) Super-low Field MR Images  
Keyword(3) Abnormality Detection  
Keyword(4) Magnitude Images  
Keyword(5) Phase Images  
1st Author's Name Yuko Ouchi  
1st Author's Affiliation Iwate Prefectural University (Iwate Pref. Univ.)
2nd Author's Name Ikuko Uwano  
2nd Author's Affiliation Iwate Prefectural University (Iwate Pref. Univ.)
3rd Author's Name Masashi Kameda  
3rd Author's Affiliation Iwate Prefectural University (Iwate Pref. Univ.)
4th Author's Name Shunrou Fujiwara  
4th Author's Affiliation Iwate Medical University (Iwate Med. Univ.)
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Date Time 2010-02-16 10:50:00 
Presentation Time 25 
Registration for IE 
Paper # IEICE-ITS2009-74,IEICE-IE2009-168 
Volume (vol) IEICE-109 
Number (no) no.414(ITS), no.415(IE) 
Page pp.209-214 
#Pages IEICE-6 
Date of Issue IEICE-ITS-2010-02-08,IEICE-IE-2010-02-08 

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