Grey and white matter signal separation in the single voxel NMR spectroscopy at 7T
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 al1 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 sequence3 and a 7T system (Siemens, Erlangen) with the following scan parameters: 8cm3 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; 1mm3 isotropic voxel with no spacing, FOV = 256 * 256 *180mm3, TEs = 10/14.24/18.48/22.72ms, FA=20°. We implemented the Dixon method5 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

1. Duyn, Jeff H., et al. "High-field MRI of brain cortical substructure based on signal phase." Proceedings of the National Academy of Sciences 104.28 (2007): 11796-11801.

2. Bhattacharyya, Pallab K., et al. "In vivo magnetic resonance spectroscopy measurement of gray-matter and white-matter gamma-aminobutyric acid concentration in sensorimotor cortex using a motion-controlled MEGA point-resolved spectroscopy sequence." Magnetic resonance imaging 29.3 (2011): 374-379.

3. Scheenen, Tom WJ, et al. "Short echo time 1H-MRSI of the human brain at 3T with minimal chemical shift displacement errors using adiabatic refocusing pulses." Magnetic resonance in medicine 59.1 (2008): 1-6.

4. Gruetter, Rolf, and Ivan Tkác. "Field mapping without reference scan using asymmetric echo-planar techniques." Magnetic Resonance in Medicine 43.2 (2000): 319-323.

5. Dixon, W. Thomas. "Simple proton spectroscopic imaging." Radiology 153.1 (1984): 189-194.

Figures

Figure 1. (a) Frequency offset distribution inside voxel (b). Histograms of the frequency offset distribution, and the outfit line (c) Spectroscopy water signal with linewidth of 25Hz

Figure 2. (a): A frequency shift and (b): a lineshape change of grey (blue) and white (Green) matter from water lineshape (red)

Table 1. Frequency shift and linewidth change between GM, WM and water.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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