Some solutions to medical imaging problems are computationally
extremely intensive. Examples are the use of image modeling
Gibbs priors for the restoration or reconstruction of images
and fully three dimensional image reconstruction as practiced
in Positron Emission Tomography and in Electron Microscopy.
In this talk we describe the nature of these problems and discuss
some of the approaches that have been taken to reduce the computational
load required for solving them.
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