Software Developed by turkupetcentre.net

Fvar4dat  v.1.3.2

Time-activity data analysis made easy. fvar4dat can add Gaussian noise to time-activity data: SD(t) = Sqrt( c * TAC(t) * Exp(lambda*t) / frame_length ) TAC_noisy(t) = TAC(t) + SD(t)*G(0,1) Input and output TAcs are assumed to be decay corrected. If

Fr4sim  v.3.9.1

Calculate tissue curve values with this utility. fr4sim can calculate tissue curve values with short sample time intervals. This software sums up those points within specified time frames to simulate a measured PET tissue uptake curve. Input datafile

Flo2ecat  v.2.0.0

Construct an ECAT PET images with this software. flo2ecat can construct an ECAT PET image or sinogram from pixel values stored as 4-byte floats in a binary flat file. Data must be stored in this matrix order: all planes of the 1st frame, 2nd frame,

Fit_winp  v.0.3.1

Fit blood time-activity curve with this program. fit_winp can fit blood time-activity curve (TAC) from PET [O-15]H2O study to a six or four parameter function, when radiowater is given to patient as a short infusion.Command-line arguments: 1) Plasma

Fit_sinf  v.0.8.5

Fit time-activity curves with this program. fit_sinf can fit the time-activity curve (TAC) of PET tracer in plasma or blood to a four-to-ten parameter function. This function may be applied when PET tracer is introduced into venous blood as a short

Fit_feng  v.1.3.6

PET plasma time-activity curves model. fit_feng is a non-linear fitting of the model suggested by Feng et al to PET plasma time-activity curves. Datafile can be any DFT file which can include weights. Program writes the fit start and end times, nr of

Fit_exp  v.2.7.3

TAC file analysis made easy. fit_exp is a non-linear fitting of the sum of 1-3 exponential functions to plasma and tissue time-activity curves (TACs). The function is: f(x) = p1*exp(p2*x) + p3*exp(p4*x) + p5*exp(p6*x). TAC file must be in DFT format.

Fitk3  v.3.3.1

Analyze two-tissue compartment model with this program. fitk3 help you with the non-linear fitting of two-tissue compartment model to plasma and tissue time-activity curves (TACs) to estimate K1, k2, k3, and optionally Vb.Parameters: 1) Plasma file

Fitk2  v.1.3.1

Non-linear fitting made easy. fitk2 help you with non-linear fitting of one-tissue compartment model to plasma and tissue time-activity curves (TACs) to estimate K1, k2 and Vb.Parameters: 1) Plasma file (corrected for labeled metabolites) 2) Blood

Fitdelay  v.2.0.3

Estimate the delay time between blood and PET time-activity curves. fitdelay help you estimate and correct the delay time between blood or plasma and PET time-activity curves (TACs). The software is based on the methods used by Meyer et al. (1) and

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