Title :
An iterative Bayes algorithm for emission tomography using a smoothed sinogram
Author_Institution :
Dept. of Stat., Macquarie Univ., North Ryde, NSW
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;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-9576-X
DOI :
10.1109/ISBI.2006.1625142
