Abstract #3074

HyperSIFT: Temoporal Denoising of Hyperpolarized Data Improves SNR while Perserving Dynamic Information

Kristin L Granlund^1,2 and Kayvan R Keshari^2,3

¹Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ²Molecular Pharmacology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ³Weill Cornell Medical College, New York, NY, United States

We apply a temporal denoising algorithm to hyperpolarized MRI. The SIFT method filters out temporal frequencies with low amplitudes, reducing noise while preserving dynamic information. We demonstrate this in a bioreactor setting, introducing hyperpolarized [1-13C] pyruvate to cells and human subjects and observing the conversion of pyruvate to lactate.

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