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Paper Abstract and Keywords
Presentation 2014-12-20 14:55
Improvement of Image Sharpness on CT Images Using Stochastic Resonance
Yuki Yamamoto, Keisuke Naito, Yukihiro Enchi, Keisuke Fujii, Chiyo Kawaura (Nagoya Univ.), Masaki Mori (Nagoya Univ. Hospital), Mitsuru Ikeda, Kuniharu Imai (Nagoya Univ.) IMQ2014-19
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, the phenomenon called Stochastic Resonance was found in a nonlinear system, and has been applied for many researches in various fields. In the previous study, we have verified that Stochastic Resonance appeared in CT images by adding white-Gaussian noise to CT images and found the suitable noise intensity which maximizes the contrast resolution in CT images. In this study, as further application of Stochastic Resonance, we have investigated whether or not the contour of a low contrast lesion in CT images reconstructed using the iterative reconstruction algorism was improved by this phenomenon.
Keyword (in Japanese) (See Japanese page) 
(in English) Stochastic Resonance / Iterative Reconstruction / Sharpness / Contrast Resolution / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 386, IMQ2014-19, pp. 17-22, Dec. 2014.
Paper # IMQ2014-19 
Date of Issue 2014-12-13 (IMQ) 
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 IMQ  
Conference Date 2014-12-20 - 2014-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging and Image Media Quality 
Paper Information
Registration To IMQ 
Conference Code 2014-12-IMQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of Image Sharpness on CT Images Using Stochastic Resonance 
Sub Title (in English)  
Keyword(1) Stochastic Resonance  
Keyword(2) Iterative Reconstruction  
Keyword(3) Sharpness  
Keyword(4) Contrast Resolution  
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1st Author's Name Yuki Yamamoto  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Keisuke Naito  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Yukihiro Enchi  
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 2014-12-20 14:55:00 
Presentation Time 25 minutes 
Registration for IMQ 
Paper # IMQ2014-19 
Volume (vol) vol.114 
Number (no) no.386 
Page pp.17-22 
#Pages
Date of Issue 2014-12-13 (IMQ) 


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