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Abstract #3280

A Bayesian Approach to Modeling the Delivery of a Hyperpolarized Substrate

Matthew E. Merritt1,2, Crystal Harrison3, A Dean Sherry4,5, Craig R. Malloy4,6, G Larry Bretthorst7

1Advance Imaging Research Center, UT Southwestern Med. Center, Dallas, TX, United States; 2Radiology, UTSW Medical Center, Dallas, TX, United States; 3Physics, University of Texas at Dallas, Richardson, TX, United States; 4AIRC, UTSW Medical Center, Dallas, TX, United States; 5Chemistry, University of Texas at Dallas, Richardson, TX, United States; 6Cardiology, North Texas VA Hospital, Dallas, TX, United States; 7Radiology, Washington University in St. Louis, St. Louis, MO, United Kingdom


A primary challenge to extracting quantitative metabolic fluxes from metabolism of a hyperpolarized substrate is modeling the delivery of the molecular imaging agent itself. Here, a tracer is co-infused with [1-13C] pyruvate. A model of the delivery and decay of the magnetization is analyzed with a Bayesian approach, yielding a delivery rate with the standard deviation. Such models are a necessary precursor to correct modeling of fluxes in vivo.

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