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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