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Quantitative interpretation of PET scans by region of interest evaluation of simple averages or perhaps even more elaborate calculations based on detailed kinetic modelling of a dynamic time-activity-curve,can benefit from a better understanding of the stochastic structure of the input data.While simulation based propagation of detector domain noise to the region of interest measurements is the most satisfactory theoretical approach to this,there are many situations where the analyst does not have access to the raw detector domain data.In such settings improved empirical understanding of the stochastic structure of the reconstructed data may be helpful.