Julia
Catarina Krcher1, Volker Johann Schmid1
1Department of Statistics,
Ludwig-Maximilians-University, Munich, Germany
Standard
one compartment models used for the quantitative analysis of concentration
time series in DCE-MRI fail in modeling heterogeneity. We propose a model
with two tissue compartments that accounts for heterogeneity within voxels
and thus more appropriately describes the uptake behavior at tumor margins.
We propose a model selection criterion that accounts for the adequacy both of
model fit and of model complexity. DCE-MRI scans from breast cancer data are
evaluated with the proposed model selection criterion per voxel: at tumor
margins the proposed two tissue compartment model outperforms the standard
one compartment model.