Variance-reduction normalization technique for a compton camera system

Abstract

For an artifact-free dataset, pre-processing (known as normalization) is needed to correct inherent non-uniformity of detection property in the Compton camera which consists of scattering and absorbing detectors. The detection efficiency depends on the non-uniform detection efficiency of the scattering and absorbing detectors, different incidence angles onto the detector surfaces, and the geometry of the two detectors. The correction factor for each detected position pair which is referred to as the normalization coefficient, is expressed as a product of factors representing the various variations. The variance-reduction technique (VRT) for a Compton camera (a normalization method) was studied. For the VRT, the Compton list-mode data of a planar uniform source of 140 keV was generated from a GATE simulation tool. The projection data of a

A New Compton Camera Imaging Model to Mitigate the Finite Spatial Resolution of Detectors and New Camera Designs for Implementation

“…This reduction will reduce the amount of data that need to be measured. A number of iterative algorithms have been proposed for reconstruction from Compton camera data [45][46][47][48][49]. The importance of reducing the amount of data that needs to be processed is especially important if an iterative algorithm is used for the reconstruction.…”