Simultaneous confidence intervals for image reconstruction problems

We provide a methodology for specifying a set of simultaneous (1-/spl alpha/)% confidence intervals on the intensity of each image pixel for emission and transmission tomography. These intervals give a (1-/spl alpha/)% confidence region which, given a specific family of noise distributions, e.g. Gaussian or Poisson, is guaranteed to contain the actual image with probability at least 1-/spl alpha/. This region is a "set estimate" of the image which can be used to study confidence levels of popular image reconstructions such as filtered back projection, weighted-least-squares, and maximum likelihood. Alternatively, the set estimate can be used as a feasibility region from which particular image estimates can be selected based on additional criteria. A simulation for parallel ray projection geometries in emission tomography is given.<
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