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Paper Abstract and Keywords
Presentation 2015-09-04 13:30
Quantitative Evaluation of Stochastic Resonance Using Similarity
Kengo Igarashi, Yuki Yamamoto, Keisuke Naito, Keisuke Fujii, Chiyo Kawaura (Nagoya Univ.), Masaki Mori (Nagoya Univ. Hospital), Mitsuru Ikeda, Kuniharu Imai (Nagoya Univ.) IMQ2015-12
Abstract (in Japanese) (See Japanese page) 
(in English) Stochastic resonance is a phenomenon that occurs in a threshold measurement system. It is well known that stochastic resonance provides signal amplification in non-linear system. Thus, stochastic resonance is increasingly being applied to various fields, including neuroscience and optical research. In our previous study, stochastic resonance occurred in CT images when white-Gaussian noise was added to them. The contrast resolution of CT images was also improved by stochastic resonance. However, the improvement effect of CT image quality by stochastic resonance is still not sufficiently understood. In this study, as further application of stochastic resonance, the similarity between CT image with band-pass filtered Gaussian noise and template image has been quantitatively assessed using correlation coefficient and equivocation.
Keyword (in Japanese) (See Japanese page) 
(in English) CT image / Stochastic Resonance / Similarity / Correlation Coefficient / Equivocation / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 216, IMQ2015-12, pp. 1-4, Sept. 2015.
Paper # IMQ2015-12 
Date of Issue 2015-08-28 (IMQ) 
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 IMQ  
Conference Date 2015-09-04 - 2015-09-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IMQ 
Conference Code 2015-09-IMQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Quantitative Evaluation of Stochastic Resonance Using Similarity 
Sub Title (in English)  
Keyword(1) CT image  
Keyword(2) Stochastic Resonance  
Keyword(3) Similarity  
Keyword(4) Correlation Coefficient  
Keyword(5) Equivocation  
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Keyword(7)  
Keyword(8)  
1st Author's Name Kengo Igarashi  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Yuki Yamamoto  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Keisuke Naito  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Keisuke Fujii  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Chiyo Kawaura  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Masaki Mori  
6th Author's Affiliation Nagoya University Hospital (Nagoya Univ. Hospital)
7th Author's Name Mitsuru Ikeda  
7th Author's Affiliation Nagoya University (Nagoya Univ.)
8th Author's Name Kuniharu Imai  
8th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2015-09-04 13:30:00 
Presentation Time 25 minutes 
Registration for IMQ 
Paper # IMQ2015-12 
Volume (vol) vol.115 
Number (no) no.216 
Page pp.1-4 
#Pages 4 
Date of Issue 2015-08-28 (IMQ) 

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