Document Detail


Image restoration and reconstruction with a Bayesian approach.
MedLine Citation:
PMID:  9608469     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We have extended Johnson's Bayesian method for image restoration and reconstruction by introducing diagonal line sites, using symmetric neighborhood configurations, and employing an additional hyperparameter for estimation of line sites. A general formulation for arbitrary neighborhood configurations was derived. The major part of this paper deals with the conduct of computer simulations intended to examine the effect of the hyperparameters, the diagonal line sites, and the size of the neighborhood configuration on the performance of the proposed Bayesian method. We show that, for optimal performance, distinct hyperparameters should be used for the intensity sites and line sites. The results also suggest that a large neighborhood configuration should be used. By comparing the near-optimal restored images, we demonstrated that the use of diagonal line sites, along with the symmetric configurations thus made possible, can effectively remove the blocky edge artifacts and produce images of better quality. When the method was applied to positron emission tomography (PET) image reconstruction, our results showed that the quality of the reconstructed images was improved for both computer-simulated and real patient PET data.
Authors:
C M Kao; X Pan; C T Chen; W H Wong
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Medical physics     Volume:  25     ISSN:  0094-2405     ISO Abbreviation:  Med Phys     Publication Date:  1998 May 
Date Detail:
Created Date:  1998-08-07     Completed Date:  1998-08-07     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0425746     Medline TA:  Med Phys     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  600-13     Citation Subset:  IM    
Affiliation:
Department of Radiology, University of Chicago, Illinois 60637, USA. c-kao@uchicago.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Artifacts
Bayes Theorem
Brain / radionuclide imaging*
Humans
Image Interpretation, Computer-Assisted*
Image Processing, Computer-Assisted / methods*
Phantoms, Imaging*
Reproducibility of Results
Sensitivity and Specificity
Tomography, Emission-Computed*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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