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Abstract #2942

Automated Kinetic Modeling of Hyperpolarized 13C Metabolism in Human Brain Tumors

Jason C Crane1, Ilwoo Park, Marram P Olson, Daniel B Vigneron, and Sarah J Nelson

1UCSF, San Francisco, CA, United States

Methods for dynamic spectroscopic imaging of hyperpolarized (HP) 13C substrates are rapidly evolving and accessible tools are required for reconstructing the data and for validating quantitative kinetic models. This study presents processing tools for automatic analysis of data from dynamic HP 13C experiments. The methods were implemented in the open-source SIVIC software package and applied to the fitting of data from a human brain tumor trial to derive metabolic Kpl maps.

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