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Abstract #2894

A Subspace Approach to High-Resolution Spectroscopic Imaging: In Vivo Experimental Results

Fan Lam 1,2 , Chao Ma 2 , T. Kevin Hitchens 3 , Curtis L. Johnson 2 , Chien Ho 3 , and Zhi-Pei Liang 1,2

1 Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2 Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3 Pittsburgh NMR Center for Biomedical Research, Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, United States

We recently proposed a new approach to high-resolution MR spectroscopic imaging, called SPICE (SPectroscopic Imaging by exploiting spatiospectral CorrElation), which uses subspace modeling and hybrid acquisition of (k,t)-space data. In this work, we present experimental results from both rat and human brains to demonstrate the unprecedented capability of SPICE for in vivo high-resolution spectroscopic imaging. More specifically, SPICE obtained spatiospectral reconstructions with 0.5mm in-plane resolution from a rat brain in 34 minutes and 2.5mm in-plane resolution from a human brain in 12 minutes, both with minimal SNR loss compared to low-resolution CSI acquisitions and significant gain in SNR compared to high-resolution EPSI acquisitions.

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