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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