Abstract
We present a new image reconstruction method for time-of-flight positronemission tomography (TOF-PET). The TOF-PET measurement system is modelled usingthe continuous-discrete mapping model, and images are reconstructed using analgebraic technique. The proposed method can produce images with better spatialresolution than conventional methods based on the filtered backprojectionmethod. Numerical simulation results show that accurate modelling of themeasurement system improves the spatial resolution and the contrast recovery,while the utilization of TOF information improves the signal-to-noise ratios ofimages.
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