imglhdv - tpcclib 0.7.8 © 2022 by Turku PET Centre
Computation of parametric image of distribution volume (DV) from dynamic
PET image in ECAT, NIfTI, or Analyze format applying one- or two-tissue
compartmental model with arterial plasma input.
The compartmental models are transformed to general linear least squares
functions, which are solved using Lawson-Hanson non-negative least squares
(NNLS) algorithm (1). DV is estimated directly without division (2, 3, 4).
Vascular volume is ignored here.
Dynamic PET image and plasma time-activity curve (PTAC) must be corrected
for decay to the tracer injection time.
Usage: imglhdv [Options] ptacfile imgfile dvfile
-1 | -2 | -A | -0
With options -1 and -2 the one- or two-tissue compartment model can be
forced for all image voxels; otherwise both models are fitted, and
with option -A the model is selected based on AIC separately for each
voxel; by default (or option -0) Akaike weighted average of the model
parameters (5, 6) are reported.
Programs writes the selected model number (1 or 2, or value between
1 and 2 as an image.
Pixels with AUC less than (threshold/100 x PTAC AUC) are set to zero
default is 0%
-end=<Fit end time (min)>
Use data from 0 to end time; by default, model is fitted to all frames.
Upper limit for DV values.
Display usage information on standard output and exit.
Display version and compile information on standard output and exit.
-d[n], --debug[=n], --verbose[=n]
Set the level (n) of debugging messages and listings.
Suppress displaying normal results on standard output.
Suppress displaying anything except errors.
The unit of voxel values in the DV image is (ml blood)/(ml tissue).
imglhdv ua3818ap.kbq ua3818dy1.v ua3818dv.v
1. Lawson CL & Hanson RJ. Solving least squares problems.
Prentice-Hall, 1974, ISBN 0-89871-356-0.
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. Zhou Y, Brasic JR, Ye W, Dogan AS, Hilton J, Singer HS, Wong DF.
Quantification of cerebral serotonin binding in normal controls and
subjects with Tourette's syndrome using [11C]MDL 100,907 and
(+)[11C]McN 5652 dynamic PET with parametric imaging approach.
NeuroImage 2004;22(Suppl 2):T98.
4. Hagelberg N, Aalto S, Kajander J, Oikonen V, Hinkka S, Någren K,
Hietala J, Scheinin H. Alfentanil increases cortical dopamine D2/D3
receptor binding in healthy subjects. Pain 2004;109:86-93.
5. 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.
6. Sederholm K. Model averaging with Akaike weights. TPCMOD0016 2003-04-07.
See also: imgdv, imgbfbp, imgratio, img2tif, logan
Keywords: image, modelling, distribution volume, Vt, NNLS