lhsolk3 1.5.1 © 2002-2004 by Turku PET Centre

Estimates the parameters of compartmental model: Cp Ct ______ ___________________ | | K1 | k3 | | | --> | -------> | | A | <-- | A <------- B | | | k2 | k4 | |______| |___________________| Parameters: 1) Plasma file 2) Tissue TAC file (*.dft) 3) Fit end time (duration) 4) Result file (existing file is overwritten) 5) Fitted tissue TAC file (optional) Parameters K1, k2 and k3 are fitted; k4=Vp=0. The model is transformed to general linear least squares functions [1,2], which are solved using Lawson-Hanson non-negative least squares (NNLS) algorithm [3]. References: 1. Blomqvist G. On the construction of functional maps in positron emission tomography. J Cereb Blood Flow Metab 1984;4:629-632. 2. Gjedde A, Wong DF. Modeling neuroreceptor binding of radioligands in vivo. In: Quantitative imaging: neuroreceptors, neurotransmitters, and enzymes. (Eds. Frost JJ, Wagner HM Jr). Raven Press, 1990, 51-79. 3. Lawson CL & Hanson RJ. Solving least squares problems. Prentice-Hall, 1974.