This
page contains the code and a user manual that describes
the functionality of an application developed with ®MATLAB
graphical interface for the following analyses:
FDG
pixel-wise parameter estimation, such as k1-k6 where,
k1
is the transport rate from the blood to the extra vascular
space
k2
is the transport rate back from the extra vascular space
k3
is the phosphorylation rate of the intra-cellular FDG
by hexokinase enzymes to FDG-6-phosphate
k4
is the dephosphorylation rate of the intra-cellular FDG-6-phosphate
back to FDG
k6
is the local cerebral metabolic rate of glucose computed
explicitly by pixel by pixel analysis
K
is an analog to k6 computed using PATLAK analysis, which
assumes k4=0. It is the slope of the regression line in
the PATLAK analysis that is valid only when k4=0
Investigating
different FDG parameter estimation methods The current version of the code uses the GLLS method only, but coded for use with constraints that may be user supplied, positivity constraints, set from standard values or using none at all.
Investigating
the effect of different filters, parameter constraint's,
and clustering techniques on the resulting FDG parameters.
June 6, 2005