Metabolite T2 is recognized as an important physiological and disease biomarker, whose measurement also benefits metabolite quantification. However, the SNR challenge of MRSI and prolonged scan time for multi-TE acquisition limit the imaging resolution. This work presents an optimized multi-TE MRSI strategy to achieve high-resolution 3D brain metabolite T2 mapping. Specifically, estimation-theoretic TE selection was analyzed for optimized metabolite T2 estimation. An enhanced parameter estimation strategy was proposed. Both simulation and invivo studies were conducted to evaluate our method. The exciting capability of simultaneous high-resolution metabolite, neurotransmitter and T2 mapping is demonstrated for the first time.
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