Title :
Variance and covariance of 82Rb kinetic parameters: computer simulations and dynamic PET studies
Author :
Golanowski, Lyanne ; DeKemp, Robert A. ; Beanlands, Rob S. ; Ruddy, Terrence D.
Author_Institution :
Heart Inst., Ottawa Univ., Ont., Canada
Abstract :
Cardiac 82Rb PET can quantify absolute myocardial perfusion through tracer kinetic modeling. The aim of this study was to evaluate performance of the one-tissue-compartment model to estimate quantitative perfusion values with the tracer 82Rb and dynamic PET. Myocardial tissue curves were simulated for a range of values for the model parameters k1 (0.1-4.0 ml/min/g), k2 (0.0-1.0/min), and blood volume Fa (0.1-0.9) with 20% Gaussian noise. Bias, variance and correlation of the parameters were investigated as measures of quality assurance for the quantitative perfusion parameter k1. PET studies were performed in dogs with and without occlusion of the LAD coronary artery to validate the simulations. The parameters k1, k2 and Fa were all estimated to within 10% of the true values when Fa was within 0.1-0.7. k1 estimates were unstable for Fa values larger than 0.9, which can occur in regions of severely diseased myocardium. Correlation of k1 with Fa increases with large values of k1, but does not introduce significant bias. Estimated k1 values and correlations ρ(k1,Fa) from the dog studies were in good agreement with the simulation values, indicating that the simulations were representative of measured 82Rb PET data. Changes in image smoothness were compensated by Fa as expected, and did not bias k1 estimates in the range employed for typical cardiac 82Rb PET studies. A one-tissue-compartment model of 82Rb tracer kinetics generates accurate and precise estimates of the perfusion parameter k1. The k1 estimates are not sensitive to image smoothness or the correlation with blood volume
Keywords :
Gaussian noise; blood flow measurement; cardiovascular system; covariance analysis; haemorheology; medical image processing; physiological models; positron emission tomography; Gaussian noise; absolute myocardial perfusion; blood flow; cardiac 82Rb PET; computer simulations; coronary artery occlusion; correlation; covariance; diseased myocardium; dynamic PET; image smoothness; myocardial tissue curves; one-tissue-compartment model; quantitative perfusion values; tracer kinetic modeling; tracer kinetics; variance; Biochemistry; Blood flow; Computer simulation; Fluid flow measurement; Isotopes; Kinetic theory; Myocardium; Parameter estimation; Positron emission tomography; Solid modeling;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.897919