Paper Abstract and Keywords |
Presentation |
2011-03-09 11:05
Image restoration for computed tomography image with Bayesian approach Junta Ueki, Hayaru Shouno (UEC) NC2010-189 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
When a doctor diagnose patient,a doctor use a computed tomography image.When we get computed tomography image,we expect low invasive image.However,when we take a computed tomograpy image,the image is debased by various problems.For instance,this problems occur by mechanical factors or by radiation irradiance of X-ray computed tomography scanner.Thus when we try to solve the problems,we can think the compensation mechanism of restoration process.
On the other hand,we can think the directly approach that restore the computed tomography image,too.We focused on the approach of the latter and weigh the former against the latter.This approach has Bayes estimation for image restoration.We try to use belief propagation for this approach.This approach use prior distribution as image character and deterioration process as image degradation.We use prior distribution as Gaussian Markov random field and deterioration process as gaussian noize. Moreover,we estimate those Hyperparameter by maximizing a marginal likelihood.We weigh the image generated by this image restoration approach against the other image generated by the other image restoration approach that is the compensation mechanism of restoration process. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Computed tomography image / Image restoration / Statistical mechanics of information / Bayesian inference / Gaussian Markov random field / Belief propagation / / |
Reference Info. |
IEICE Tech. Rep., vol. 110, no. 461, NC2010-189, pp. 367-372, March 2011. |
Paper # |
NC2010-189 |
Date of Issue |
2011-02-28 (NC) |
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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NC2010-189 |
Conference Information |
Committee |
NC MBE |
Conference Date |
2011-03-07 - 2011-03-09 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tamagawa University |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
NC |
Conference Code |
2011-03-NC-MBE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Image restoration for computed tomography image with Bayesian approach |
Sub Title (in English) |
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Keyword(1) |
Computed tomography image |
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Image restoration |
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Statistical mechanics of information |
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Bayesian inference |
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Gaussian Markov random field |
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Belief propagation |
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1st Author's Name |
Junta Ueki |
1st Author's Affiliation |
The University of Electro-Communications (UEC) |
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Hayaru Shouno |
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The University of Electro-Communications (UEC) |
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Speaker |
1 |
Date Time |
2011-03-09 11:05:00 |
Presentation Time |
25 |
Registration for |
NC |
Paper # |
IEICE-NC2010-189 |
Volume (vol) |
IEICE-110 |
Number (no) |
no.461 |
Page |
pp.367-372 |
#Pages |
IEICE-6 |
Date of Issue |
IEICE-NC-2011-02-28 |