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Abstract #4173

High Resolution Pyruvate-Lactate Metabolic Measurement by Hyperpolarized 13C MR Fingerprinting Acquisition with Low Rank Reconstruction

Charlie Yi Wang1, Anna Bennett1, Sule Sahin1, Avantika Sinha1, Xiaoxi Liu1, and Peder Larson1
1University of California, San Francisco, San Francisco, CA, United States

Synopsis

Keywords: Sparse & Low-Rank Models, Hyperpolarized MR (Non-Gas), Kidney, MR Fingerprinting, Metabolism

Motivation: T1 of hyperpolarized Carbon-13 (HP-13C) molecules results in limited data acquisition period. In conventional imaging approaches, this results in sacrifices in imaging resolution, which leads to limited sensitive and interpretability of results.

Goal(s): Combine efficient MR fingerprinting based acquisition with spatiotemporal low-rank constraint for accelerated high resolution metabolic imaging.

Approach: bSSFP-type MRF acquisition was reconstructed iteratively with low-rank temporal constraint derived from HP-13C signal model. Method was assessed in digital phantom, retrospective, and prospective preclinical rat kidney.

Results: Strong undersampling capacity was observed in simulation and retrospective studies. Preclinical experiment with 20-fold smaller voxel volume showed reasonable results.

Impact: Improved resolution is a critical prerequisite for clinical utility of HP-13C measurements. The methods shown here demonstrate potential for robust metabolic measurements at order of magnitude higher resolution, and is adaptable for wide range of organ systems and metabolic processes.

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Keywords