Abstract
Appropriate application of spatially variant system models can correct for degraded resolution response and mispositioning errors. This work explores the detector blurring component of the system model for a whole body PET system and extends this factor into a more general system response function to account for other system non-idealities such as the influence of FORE rebinning. We model the system response function as a 3 dimensional function that blurs in the radial and axial dimension and is spatially variant in radial location. This function is derived from Monte Carlo simulations and incorporates inter-crystal scatter, crystal penetration, and the blurring due to FORE rebinning. The improved system model is applied in a modified OSEM algorithm to reconstruct FORE rebinned, fully 3D PET data into images with improved resolution and quantitative accuracy.
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