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Proceedings Paper

Reconstruction of positron emission tomography images using maximum a posteriori and mean field annealing techniques
Author(s): Michael Symonds; Youn-Sik Han; Peter Santago II; Wesley E. Snyder
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Paper Abstract

In the reconstruction of positron emission tomography images, each slice of the image volume is individually reconstructed from a sinogram, in which the statistics of the data elements are Poisson and the image data is hidden by the mechanism of projection. We propose a method of image reconstruction which incorporates the given data set and also reflects the a prior knowledge that the image consists of smooth noiseless regions that are separated by sharp edges. This method uses both maximum likelihood and maximum a posteriori techniques in a manner that is similar to techniques used by others, but our method incorporates a bounded prior term and adaptive annealing techniques. These advancements prevent excessive smoothing and address the difficulties presented by parameter selection and image convergence.

Paper Details

Date Published: 1 May 1994
PDF: 11 pages
Proc. SPIE 2163, Medical Imaging 1994: Physics of Medical Imaging, (1 May 1994); doi: 10.1117/12.174258
Show Author Affiliations
Michael Symonds, Bowman Gray School of Medicine/Wake Forest Univ. (United States)
Youn-Sik Han, Bowman Gray School of Medicine/Wake Forest Univ. (United States)
Peter Santago II, Bowman Gray School of Medicine/Wake Forest Univ. (United States)
Wesley E. Snyder, Bowman Gray School of Medicine/Wake Forest Univ. (United States)


Published in SPIE Proceedings Vol. 2163:
Medical Imaging 1994: Physics of Medical Imaging
Rodney Shaw, Editor(s)

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