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1 May 1994 Reconstruction of positron emission tomography images using maximum a posteriori and mean field annealing techniques
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Symonds, Youn-Sik Han, Peter Santago II, and Wesley E. Snyder "Reconstruction of positron emission tomography images using maximum a posteriori and mean field annealing techniques", Proc. SPIE 2163, Medical Imaging 1994: Physics of Medical Imaging, (1 May 1994); https://doi.org/10.1117/12.174258
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