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Abstract #3793

Automated Kinetic Modeling of Perfusion and Metabolism Based on Dynamic Hyperpolarized 13 C Data With Open-Source SIVIC Software

Christine Leon Swisher 1,2 , Jason C. Crane 1 , Marram P. Olson 1 , Cornelius Von Morze 1 , Daniel B. Vigneron 1,2 , and Sarah J. Nelson 1,2

1 Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2 UC Berkeley-UCSF Graduate Program in Bioengineering, San Francisco, CA, United States

Considerable attention has been dedicated to investigating the dynamics of hyperpolarized signals to detect the underlining pathophysiology4-8. Derivation of kinetics from HP substrates often requires complex, multi-compartment models, which are prone to misinterpretation. Moreover, as the technology moves into the clinic, there is a clear need for standardization, simplification of complicated workflows, and a format compatible with PACS. The SIVIC package processes and quantifies dynamic HP spectroscopic data in two simple steps producing multiple parameters including quantification of dynamics, perfusion, and metabolic reaction rate kinetics. These can then be displayed with ease in SIVIC, a free, open-source software package.

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