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Abstract #3264

Simulation Tool for Modeling of Hyperpolarized 13C Metabolic Imaging: Application to Optimizing 13C-Fructose Acquisitions

Peter J. Shin1,2, Simon Hu2, Peder E. Z. Larson2, Kayvan R. Keshari2, John Kurhanewicz1,2, Daniel B. Vigneron1,2

1Joint Graduate Group in Bioengineering, University of California at San Francisco & Berkeley, San Francisco, CA, United States; 2Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, United States

13C-fructose has been recently proposed as a novel hyperpolarized 13C probe. The short T1 of 13C-fructose could impose additional challenges in designing data acquisition strategies. Here, we have optimized an acquisition scheme using a specialized simulation tool and showed that a T1 compensated RF excitation scheme together with compressed sensing can yield minimized spatial blurring with high SNR enough for in vivo 13C-fructose metabolic imaging.