We propose a compressed sensing reconstruction method with high time resolution for imaging fast metabolic dynamics from sequential data measured using 2D 1H-13C heteronuclear multiple quantum coherence (HMQC) MRSI. Optimization using the alternating direction method of multipliers (ADMM) is employed to incorporate prior knowledge about the substance distribution.
The 2D-HMQC MRSI with pseudo-random undersampling is applied to tumor-bearing mice after the injection of [U-13C] glucose. From the resulting data, we successfully reconstruct time-series of the in vivo density of three substances (glucose, lactate, and fat) at a high time resolution of 2.25 min.
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