imglhki 1.3.1 © 2002-2012 by Turku PET Centre
Estimation of influx rate constant (Ki) from dynamic PET images in
ECAT 6.3 or 7.x format applying Lawson-Hanson non-negative least squares
(NNLS)  to solve general linear least squares functions.
Ki is estimated directly without division  from one- or two-tissue
1) Plasma file (times in minutes!)
2) Dynamic image file
3) Parametric image file
e.g.: imglhki ua2918ap.kbq ua2918dy1.v ua2918ki.v
Options for model selection:
-A Automatic selection of model for separate pixels
-1 Force one-tissue compartment model for all pixels
-2 Force two-tissue compartment model for all pixels
-0 Akaike weighted average of 1- and 2-tissue
compartment model results  (default)
-M Selected model is written as second 'frame' in the parametric image.
Other command line options:
Pixels with AUC less than (threshold/100 x plasma AUC) are set to zero.
default is 0%
-E=<Fit end time (min)>
Use data from 0 to end time; by default, model is fitted to all frames.
-h or --help
Print this message and exit
--version or --build
Print software build information and exit
Program works silently, printing only error and warning messages.
Program prints more information about what it is doing.
The unit of pixel values in the parametric image is ml/(min*ml).
1. Lawson CL & Hanson RJ. Solving least squares problems.
2. 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.
3. 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.
See also: imgki
Keywords: image, modelling, influx rate, NNLS
This program comes with ABSOLUTELY NO WARRANTY. This is free software, and
you are welcome to redistribute it under GNU General Public License.
Last updated 2012-06-24 18:56:08