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Simulation of PET data for modelling

Simulation of regional PET TACs

Simulation of PET frames

The conventional PET data analysis requires instantaneous values of tracer concentration in the tissue at each time point. However, a dynamic PET study consists of series of integral measurements over time "frames". Since in bolus studies the tracer concentration changes during the frame, instantaneous tracer concentrations can not be derived from integrated PET data at any given data point. Usually it is assumed that the average tracer concentration during a frame represents the instantenous concentration at frame middle time point ("midframe approximation", see Buchert et al., 2003). This may be appropriate if time frames are relatively short.

You can use program fr4sim to simulate the effects of PET time frames for regional TACs.

Simulation of noise

Making input data for simulations

Useful tools for working with simulated curves

Simulation of PET images and sinograms

Important constants needed in simulations



Buchert R, van den Hoff J, Mester J. Accurate determination of metabolic rates from dynamic positron emission tomography data with very-low temporal resolution. J Comput Assist Tomography 2003; 27(4): 597-605.

Cremer JE, Seville MP. Regional brain blood, blood volume, and haematocrit values in the adult rat. J Cereb Blood Flow Metab 1983; 3: 254-256.

Duck FA. Physical properties of tissue. Academic Press, London (1990), pp 320-328.

Hald PM. Notes on the determination and distribution of sodium and potassium in cells and serum of normal human blood. J Biol Chem 1946; 163: 429-434.

ICRP Publication 23, Reference Man: Anatomical, Physiological, and Metabolic Characteristics, International Commission on Radiological Protection, Pergamon Press, New York (1975).

Østergaard L, Chesler DA, Weisskoff RM, Sorensen AG, Rosen BR. Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data. J Cereb Blood Flow Metab 1999; 19: 690-699.



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