DocumentCode
1820971
Title
An iterative Bayes algorithm for emission tomography using a smoothed sinogram
Author
Ma, Jun
Author_Institution
Dept. of Stat., Macquarie Univ., North Ryde, NSW
fYear
2006
fDate
6-9 April 2006
Firstpage
1212
Lastpage
1215
Abstract
In this paper we formulate a new approach to medical image reconstruction from projections in emission tomography. This approach differs from traditional methods such as filtered back projection, maximum likelihood or maximum penalized likelihood. Our method is developed directly from the Bayes formula and the final result is an iterative algorithm, for which the maximum likelihood expectation-maximization is a special case
Keywords
Bayes methods; expectation-maximisation algorithm; image reconstruction; medical image processing; single photon emission computed tomography; SPECT; emission tomography; iterative Bayes algorithm; maximum likelihood expectation-maximization; medical image reconstruction; smoothed sinogram; Back; Cameras; Image reconstruction; Iterative algorithms; Iterative methods; Maximum likelihood detection; Reconstruction algorithms; Signal processing algorithms; Smoothing methods; Tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
Conference_Location
Arlington, VA
Print_ISBN
0-7803-9576-X
Type
conf
DOI
10.1109/ISBI.2006.1625142
Filename
1625142
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