Abstract #1820
Improved GABA editing at 3T with real-time motion correction, shim update and reacquisition of MEGA-LASER
Ovidiu Cristian Andronesi 1 , Wolfgang Bogner 2 , Aaron Hess 3 , Dylan M. Tisdall 1 , Paul Wighton 1 , Himanshu Bhat 4 , Dinesh Deelchand 5 , Malgorzata Marjanska 5 , Andre van der Kouwe 1 , and Bruce R. Rosen 1
1
Martinos Center for Biomedical Imaging,
Department of Radiology, Massachusetts General Hospital,
Harvard Medical School, Boston, MA, United States,
2
MR
Center of Excellence, Department of Radiology, Medical
University Vienna, Vienna, Vienna, Austria,
3
Centre
for Clinical Magnetic Resonance, John Radcliffe
Hospital, University of Oxford, Oxford, Oxford, United
Kingdom,
4
Siemens
Healthcare USA, Boston, MA, United States,
5
Center
for Magnetic Resonance Research, University of
Minnesota, Minneapolis, MN, United States
The mechanisms by which GABA modulates brain activity
have become a major topic in neuroscience and
neuropsychiatric research. MR spectroscopy (MRS)
provides the only non-invasive way to measure GABA
levels in-vivo, but its low levels and spectral overlap
with abundant brain metabolites make this task
challenging. In particular, J-difference MRS provides
the highest retained signal for in-vivo GABA editing.
However, difference methods are susceptible to
subtraction artifacts caused by subject movement and
scanner drifts. Low concentration of GABA requires long
measurement times, and makes its editing especially
prone to this types of artifacts. Here, we show that
real-time motion correction combined with dynamic shim
update and reacquisition can eliminate artifacts and
preserve the GABA signal. In particular, the addition of
reacquisition into the correction algorithm is newly
demonstrated here for GABA editing with an optimized
adiabatic MEGA-LASER sequence.
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