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Abstract #2458

Signal Enhancement and Optimum Receiver Arrays For Human Hyperpolarized 13C MR Spectroscopic Imaging

Hsin-Yu Chen1, Adam Autry1, Jeffrey R. Brender2, Shun Kishimoto2, Murali C. Krishna2, Maryam Vareth1,3, Robert A. Bok1, Galen D. Reed4, Albert P. Chen4, Lucas Carvajal1, Jeremy W. Gordon1, Mark van Criekinge1, David E. Korenchan1, Duan Xu1, Yan Li1, John Kurhanewicz1, Peder E.Z. Larson1, and Daniel B. Vigneron1

1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States, 3Berkeley Institute for Data Science, Berkeley, CA, United States, 4GE Healthcare, Chicago, IL, United States

A data-driven processing framework was proposed for dynamic hyperpolarized 13C-MR Spectroscopic Imaging to maximally extract diagnostic information from existing datasets and techniques that utilized whitened-SVD2 to optimally combine array data, and tensor-low-rank denoising3,4 to enhance SNR. The framework was applied and evaluated on brain, abdomen, and pelvic datasets acquired using multi-channel arrays or single-element receivers. Substantial improvement in quality of low-SNR lactate and alanine was observed with 30+ fold apparent SNR gain, whereas high-SNR pyruvate remained largely artifact-free. Correlation of high kPL with biopsy-confirmed cancer strongly indicated that this recovered important pathological information.

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