Abstract #3349

Specialized Computational Methods for Denoising, B1 Correction, and Kinetic Modeling in Hyperpolarized 13C MR EPSI Studies of Liver Tumors

Philip Meng-en Lee¹, Hsin-Yu Chen¹, Jeremy W Gordon¹, Zihan Zhu¹, Peder EZ Larson¹, Nicholas Dwork¹, Mark Van Criekinge¹, Lucas Carvajal¹, Michael A Ohliger¹, Zhen J Wang¹, Duan Xu¹, John Kurhanewicz¹, Robert A Bok¹, Rahul Aggarwal², Pamela N Munster², and Daniel B Vigneron¹

¹Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, ²Department of Medicine, University of California, San Francisco, San Francisco, CA, United States

The inhomogeneous B₁ excitation profile of ¹³C surface transmit/receive coils provides high SNR near the surface, but results in a spatially-varying B₁+. For accurately quantifying the pyruvate to lactate conversion rate (k_PL), the flip angle needs to be corrected based on the B₁ excitation profile. Simultaneously, random noise in hyperpolarized spectral data obscures peaks of downstream metabolites. In this work, we developed and tested a specialized computational pipeline incorporating denoising and a B₁ excitation field correction method that improved quantitative kinetic rate analyses of hyperpolarized ¹³C MRSI scans of liver tumor patients acquired with a T/R ¹³C surface coil.

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