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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 (kPL), 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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