feng_1tc_tac_model: Model: Feng input model convolved with a 1TC IRF

In mathesong/kinfitr: Kinetic Modelling of PET Time Activity Curves

Model: Feng input model convolved with a 1TC IRF

Description

This is the model definition for the Feng input model convolved with a 1TC IRF.

Usage

feng_1tc_tac_model(t_tac, t0, A, B, C, alpha, beta, gamma, Ph1, Th1)

Arguments

t_tac	Numeric vector of time values in minutes.
t0	The time point at which the curve begins to increase
A	Feng AIF model A parameter
B	Feng AIF model B parameter
C	Feng AIF model C parameter
alpha	Feng AIF model alpha parameter
beta	Feng AIF model beta parameter
gamma	Feng AIF model gamma parameter
Ph1	1TC IRF model K1 parameter
Th1	1TC IRF model k2 parameter

Value

The predicted values

Author(s)

Granville J Matheson, [e-mail]

References

Jiao, J. et al, 2023. NiftyPAD-Novel Python Package for Quantitative Analysis of Dynamic PET Data. Neuroinformatics, pp.1-12. Matheson, G.J & Ogden, R.T., in preparation. SiMBA for Reference Tissue Models.

Examples

data(simref)
t_tac <- simref$tacs[[2]]$Times

feng_1tc_tac_model(t_tac, 0, 3, 1, 0.2, 0.6, 0.2, 0.01, 0.2, 0.1)

mathesong/kinfitr documentation built on Jan. 15, 2024, 11:07 p.m.