Can Model Weighting Improve the Accuracy of DCE-MRI Parameter Estimation?
Xia Li 1 , Lori R. Arlinghaus 1 , Erin Rericha 1 , and Thomas Yankeelov 1
Vanderbilt University, Nashville, Tennessee,
Many pharmacokinetic models have been proposed for
analyzing dynamic contrast enhanced MRI with different
assumptions. It is difficult to select which model is
most appropriate for a particular study. To address this
limitation, we have taken an approach in which multiple
models are weighted by a factor determined by how well
they fit the data. We analyze each voxel in a DCE-MRI
data set with an array of models and compute the Akaike
Information Criteria for each fit. The AIC is then used
to determine the statistically optimal model on a
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