Models for simulation of regional PET TTACs

Software for simulation

PET tissue time-activity curves (TTACs) can be simulated based on the input function, compartmental model, and model parameters, using the software listed below:

Compartmental models with plasma input

Models with 1- or 2-tissue compartments can be simulated simply by setting the rate constants that apply to the second or third compartment to zero.

For demonstration purposes Excel worksheets are available for the simulation of

2-tissue compartment model with reference tissue input

Program sim_rtcm can be used to simulate TTACs using the following reference tissue input models:

Dedicated models for PET tracers or targets

Shape analysis

Program simshape can be used to simulate regional TTAC using shape analysis method.


See also:



References:

Chen K, Huang S, Feng D. New estimation methods that directly use the time accumulated counts in the input function in quantitative dynamic PET studies. Phys Med Biol. 1994; 39: 2073-2090.

Coxson PG, Salmeron EM, Huesman RH, Mazoyer BM. Simulation of compartmental models for kinetic data from a positron emission tomograph. Comput Methods Progr Biomed. 1992; 37: 205-214.

Coxson PG, Huesman RH, Borland L. Consequences of using a simplified kinetic model for dynamic PET data. J Nucl Med. 1997; 38: 660-667.

Huang S, Bahn MM, Phelps ME. A new technique for solving nonlinear differential equations encountered in modeling of neuroreceptor-binding ligands. IEEE Trans Nucl Sci. 1988; 35(1): 762-766.

Kuwabara H, Cumming P, Reith J, L├ęger G, Diksic M, Evans AC, Gjedde A. Human striatal L-DOPA decarboxylase activity estimated in vivo using 6[18F]fluoro-DOPA and positron emission tomography: error analysis and application to normal subjects. J Cereb Blood Flow Metab. 1993; 13: 43-56.



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Created at: 2010-09-20
Updated at: 2018-01-18
Written by: Vesa Oikonen