View source: R/kinfitr_2tcm1k.R
twotcm1k_fitDelay_model | R Documentation |
This is the Two Tissue Compartment Model with Irreversible Trapping model itself by which predicted values are generated, which includes fitting of the delay, inpshift.
twotcm1k_fitDelay_model(t_tac, input, K1, k2, k3, k4, Kb, inpshift, vB)
t_tac |
Numeric vector of times for each frame in minutes. We use the time halfway through the frame as well as a zero. |
input |
Data frame containing the blood, plasma, and parent fraction concentrations over time. This can be generated
using the |
K1 |
Parameter value for K1 |
k2 |
Parameter value for k2 |
k3 |
Parameter value for k3 |
k4 |
Parameter value for k4 |
Kb |
Parameter value for Kb |
inpshift |
Parameter value for inpshift, the delay. |
vB |
Parameter value for vB |
A numeric vector of the predicted values of the TAC in the target region.
Granville J Matheson, mathesong@gmail.com
Rizzo, G., Veronese, M., Tonietto, M., Zanotti-Fregonara, P., Turkheimer, F. E., & Bertoldo, A. (2014). Kinetic modeling without accounting for the vascular component impairs the quantification of [11C] PBR28 brain PET data. Journal of Cerebral Blood Flow & Metabolism, 34(6), 1060-1069.
## Not run:
twotcm1k_fitDelay_model(t_tac, input,
K1 = 0.1, k2 = 0.08, k3 = 0.05,
k4 = 0.02, Kb = 0.25, inpshift = 0.1, vB = 0.05
)
## End(Not run)
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