lhsolki 1.3.0 © 2002-2005 by Turku PET Centre

Estimates the influx rate constant (Ki) from compartmental model: Cp Ct ______ ___________________ | | K1 | | 1-tissue CM | | --> | k3 | Ki=K1 | A | <-- | A -------> B | | | k2 | | 2-tissue CM |______| |___________________| Ki=(K1*k3)/(k2+k3) The model is transformed to general linear least squares functions [1], which are solved using Lawson-Hanson non-negative least squares (NNLS) algorithm [2]. Ki is estimated directly without division [3]. Parameters: 1) Metabolite corrected plasma file 2) Tissue TAC file (*.dft) 3) Fit end time (duration) 4) Result file (existing file is overwritten) e.g.: lhsolki ub2917ap_pure.kbq ub2917.dft 90 ub2917ki.res Options: -0 Akaike weighted avg of 1- and 2-tissue compartment model results [4,5] -1 Force one-tissue compartment model for all regions -2 Force two-tissue compartment model for all regions (default) -A Automatic selection of model for separate regions References: 1. Blomqvist G. On the construction of functional maps in positron emission tomography. J Cereb Blood Flow Metab 1984;4:629-632. 2. Lawson CL & Hanson RJ. Solving least squares problems. Prentice-Hall, 1974. 3. Zhou Y, Brasic J, Endres CJ, Kuwabara H, Kimes A, Contoreggi C, Maini A, Ernst M, Wong DF. Binding potential image based statistical mapping for detection of dopamine release by [11C]raclopride dynamic PET. NeuroImage 2002;16:S91. 4. Turkheimer FE, Hinz R, Cunningham VJ. On the undecidability among kinetic models: from model selection to model averaging. J Cereb Blood Flow Metab 2003; 23: 490-498. 5. Sederholm K. TPCMOD0016 2003-03-20. See also: dftcbv, dftweigh, dft2ps, patlak, fitk3, imglhki Keywords: DFT, modelling, irreversible uptake

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Last updated 2005-07-27 15:14:54