Abstract #2741
Information Criteria weighted Parameter Estimates in DCE-MRI
Tammo Rukat 1,2 and Stefan A Reinsberg 1
1
Department of Physics and Astronomy,
University of British Columbia, Vancouver, British
Columbia, Canada,
2
Institut
fr Physik, Humboldt Universitt zu Berlin, Berlin,
Germany
The benefits from mixed model inference in
pharmacokinetic models of DCE-MRI by means of Akaike and
the Bayesian information criterion is investigated. Data
is simulated based on published mouse and human AIFs and
the MMID4, that approximates true tissue physiology. K
trans
estimates
are shown to benefit in accuracy and precision for a
variety of investigated tissues.
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