This study is of
relevance to MR researchers interested in DCE-MRI. Tofts model is a well-established
two compartment model to determine the PharmacoKinetic (PK) maps, which is time
consuming due to the presence of iterative curve fitting for each voxel. Current
work focuses on the application of Partial Least Square (PLS) regression
modelling to determine PK maps. PLS is a statistical method based on PCA and
linear regression that provides the relationship between the predictor and
response variables. We
report 95-98% reduction in time as compared to curve fitting approaches for in silico phantoms and in vivo breast DCE data.
