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Paper Abstract and Keywords
Presentation 2010-12-19 16:10
Development of Noise Reduction Method by Identification of a Digital X-ray Imaging System -- A Study on Identification of Stationary Low-Frequency Noise --
Akihiro Sugiura (Gifu Univ. of Med. Sci.Nagoya City Univ./Gifu Univ. of Med. Sci.), Kiyoko Yokoyama (Nagoya City Univ.), Hiroki Takada (Univ. of Fukui), Naruomi Yasuda, Akiko Horii (Gifu Univ. of Med. Sci.) MBE2010-65 NC2010-76
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we verify the method of extracting stationary low-frequency noise (stationary noise). We also perform mathematical identification of stationary noise using a polynomial regression model. The results reveal that stationary noise can be extracted using a particular LPF frequency. For mathematical identification of stationary noise, we find that a greater than second-degree polynomial regression model can roughly identify stationary noise. Moreover, it becomes possible to identify stationary noise in more detail by increasing the degree of the model. However, the fitting accuracy of the regression curve is not significantly improved in terms of the amount of calculation required to increase the degree of the polynomial regression model. Therefore, we believe that retrieval should be added to a basic polynomial regression model to accommodate variations of stationary noise with increased flexibility.
Keyword (in Japanese) (See Japanese page) 
(in English) X-ray image / stationary low-frequency noise / polynomial regression model / CR system / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 354, MBE2010-65, pp. 57-62, Dec. 2010.
Paper # MBE2010-65 
Date of Issue 2010-12-12 (MBE, NC) 
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 NC MBE  
Conference Date 2010-12-19 - 2010-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2010-12-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of Noise Reduction Method by Identification of a Digital X-ray Imaging System 
Sub Title (in English) A Study on Identification of Stationary Low-Frequency Noise 
Keyword(1) X-ray image  
Keyword(2) stationary low-frequency noise  
Keyword(3) polynomial regression model  
Keyword(4) CR system  
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1st Author's Name Akihiro Sugiura  
1st Author's Affiliation Gifu University of Medical Science/Nagoya City University/Gifu University of Medical Science (Gifu Univ. of Med. Sci.Nagoya City Univ./Gifu Univ. of Med. Sci.)
2nd Author's Name Kiyoko Yokoyama  
2nd Author's Affiliation Nagoya City University (Nagoya City Univ.)
3rd Author's Name Hiroki Takada  
3rd Author's Affiliation University of Fukui (Univ. of Fukui)
4th Author's Name Naruomi Yasuda  
4th Author's Affiliation Gifu University of Medical Science (Gifu Univ. of Med. Sci.)
5th Author's Name Akiko Horii  
5th Author's Affiliation Gifu University of Medical Science (Gifu Univ. of Med. Sci.)
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Speaker Author-1 
Date Time 2010-12-19 16:10:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2010-65, NC2010-76 
Volume (vol) vol.110 
Number (no) no.354(MBE), no.355(NC) 
Page pp.57-62 
#Pages 6 
Date of Issue 2010-12-12 (MBE, NC) 

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