Donghyun Hong1, Jack JA van Asten2, Seyedmorteza Rohani Rankouhi1, Jan-Willem Thielen1, and David G. Norris1,3
1Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany, 2Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands, 3Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, Netherlands
Synopsis
GABA spectroscopy has two potential confounds widely ignored
by the spectroscopic community: 1) a potential 5-10Hz frequency shift between
grey and white matter shown in imaging experiment and 2) the fact that the GABA
is circa 9 times more concentrated in grey matter. To investigate whether these
confounds could affect GABA spectroscopy at 7T, we compute grey and white
matter lineshapes by frequency mapping. We found a slight frequency shift and lineshape
which can be ignored. Hence, we conclude that we can probably safely use a
single lineshape for fitting using LCModel.Introduction
GABA spectroscopy is increasingly important at 7T, however two potential
confounds have been widely ignored by the spectroscopic community: 1) Duyn et
al
1 showed a potential 5-10Hz frequency shift between grey and white
matter in an imaging experiment, and 2) the fact that the GABA is circa 9 times
(90% GM, 10% WM)
2 more concentrated in grey matter. To investigate
whether these confounds could affect GABA spectroscopy at 7T we combined
frequency mapping with spectroscopy enabling us to compute grey and white
matter lineshapes. With this information we can test whether the frequency
shifts reported by Duyn et al are relevant for the larger voxels used in spectroscopy,
and whether the grey matter lineshape differs from that of white matter, which
should then be ideally taken into account when using analytical techniques such
as the LC model approach that is based on an assumption of a single lineshape
per voxel.
Material and Methods
We acquired MRI and MRS data from the occipital cortex of 9 healthy
volunteers (5M/4F; 29.7 ± 3.78YO) using the Semi-LASER sequence
3 and
a 7T system (Siemens, Erlangen) with the following scan parameters: 8cm
3
isotropic voxel, TE/TR/NEX=68ms/4500ms/64. A 3D MPRAGE was acquired as an
anatomical reference before spectroscopy. B0 shimming was performed
by fastest map4. A 3D GRE phase imaging acquisition was performed after
the spectroscopy scan to have a frequency offset map at the same location as
the spectroscopic voxel with; 1mm
3 isotropic voxel with no spacing,
FOV = 256 * 256 *180mm
3, TEs = 10/14.24/18.48/22.72ms, FA=20°. We
implemented the Dixon method
5 to generate a frequency offset map in
the spectroscopy voxel. We reconstructed a lineshape of the water signal by
combining individual sub voxels of the frequency offset map. We separated grey
matter and white matter regions inside the spectroscopy voxel by the histogram
segmentation method based on the T1 weighted images, which were used for an anatomical
reference. Grey matter and white matter lineshapes were computed by recombining
frequency components at the equivalent voxel position corresponding to grey matter
and white matter tissue. We excluded CSF components.
Results
We could reconstruct an
identical lineshape to that of the water signal by imaging regardless of field
homogeneity (Fig.1). Fig 2 shows a frequency shift and a linewidth change
of grey (blue)
and white (Green)
matter
lineshapes from water lineshape (red): water being the sum of both signals.
Table 1 averages the frequency shift and the linewidth change in grey and white matter.
Discussion
This study has demonstrated a
method using imaging to separate grey and white matter lineshape from a single spectroscopic voxel, and
found a smaller level of the frequency shift than the level Duyn et al
showed in an imaging experiment. This slight shift would cause no significant
effect in the larger voxel used spectroscopy. Furthermore, when we consider the
errors in fitting the line, the difference in the lineshape is also very
slight. Hence, we conclude that we can probably safely use a single lineshape
for fitting using LCModel.
Acknowledgements
No acknowledgement found.References
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