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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