Noise Identification and Removal in Positron Imaging Systems

Abstract

The noise (scattered and random) generated in two positron emission imaging systems has been studied and mathematically modeled as an exponential convolving function. Compton scattering is presumed to be a dominant factor, as opposed to random events. Deconvolution of the sensed data has enabled us to eliminate noise and to obtain images which can be quantified. Further, these images have improved diagnostic quality.