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  Multilevel Bayesian Image Reconstruction and Better Priors for Positron Emission Tomography

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by Jonathan Oakley, John Missimer, Gabor Szekely
ftp://ftp.vision.ee.ethz.ch/publications/1999/postscripts/3d99.ps.gz
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Abstract:

The aim of this work is to support the better quantification of Positron Emission Tomography (PET) images on the basis of associated structural information. This would involve an addressal of the Partial Volume Effect (PVE) [1], which basically demands better resolution data. To this end, one approach is to apply image space correction techniques that

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