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Abstract #0072

Optimized Subspace-Based J-Resolved MRSI for Simultaneous Metabolite and Neurotransmitter Mapping

Zepeng Wang1,2, Yahang Li1,2, and Fan Lam1,2
1Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, Urbana, IL, United States

J-resolved 1H-MRSI offers improved molecular specificity by encoding the J-coupling evolution of different molecules at multiple TEs. The addition of another encoding dimension poses both challenges and flexibility for optimizations in data acquisition and reconstruction. This work presents further optimized J-resolved MRSI acquisition and reconstruction strategies for high-resolution, 3D metabolite, and neurotransmitter mapping. Specifically, estimation-theoretic TE selection within a union-of-subspaces (UoSS) framework was analyzed for optimized separation of metabolite and neurotransmitter signals. Both simulation and in vivo studies have been conducted. Promising results in terms of simultaneously high-resolution mapping of major metabolites, Glx, and GABA are provided.

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