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 Vareth^1,3, 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 denoising^3,4 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 k_PL with biopsy-confirmed cancer strongly indicated that this recovered important pathological information.

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