Abstract: A Compton Deconvolution Camera (CDC) comprises multiple detection layers, position sensing logic to determine positions of events in each detection layer, a coincidence detector to detect pairs of coincident events resulting from Compton scattering, and processing logic. For each of multiple subsets of one of the detection layers, the processing logic associates data representing detected events with a distribution of corresponding events in another detection layer. The processing logic applies a deconvolution function to localize probable source locations of incident photons, computes probable Compton scattering angles for event pairs, and uses the probable source locations to reconstruct an image. Each of the detection layers may comprise an array of solid-state ionization detectors, or a scintillator and an array of solid-state photodetectors.

Abstract: A Compton Deconvolution Camera (CDC) comprises multiple detection layers, position sensing logic to determine positions of events in each detection layer, a coincidence detector to detect pairs of coincident events resulting from Compton scattering, and processing logic. For each of multiple subsets of one of the detection layers, the processing logic associates data representing detected events with a distribution of corresponding events in another detection layer. The processing logic applies a deconvolution function to localize probable source locations of incident photons, computes probable Compton scattering angles for event pairs, and uses the probable source locations to reconstruct an image. Each of the detection layers may comprise an array of solid-state ionization detectors, or a scintillator and an array of solid-state photodetectors.

Abstract: Tomographic data acquired in a polar reference frame is rapidly converted into data arranged in a Cartesian system suitable for processing and/or display by a program that may operate efficiently on an electronic computer. The program identifies each polar voxel, defining the region of the polar data, to one or more Cartesian voxels that overlap with it. Truncation techniques developed for use with computer graphics are used to determine an area of overlap between the voxels. Areas of overlap are indexed in a conversion table which may be used for rapid conversion between data acquired under these two coordinate systems.