1H MRS of gray and white matter in the human brain using B0 Adjusted Sensitivity Encoded Spectral Localization by Imaging (BASE-SLIM)
Peter Adany1, Phil Lee1,2, and In-Young Choi1,2,3

1Hoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, KS, United States, 2Department of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, KS, United States, 3Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States

Synopsis

Reliable localization of 1H MRS in gray and white matter of the human brain was achieved using the BASE-SLIM technique. Distinctive spectral patterns of gray and white matter were measured from all subjects using BASE-SLIM, which were consistent with those measured in both tissue types using single-voxel 1H MRS. BASE-SLIM spectroscopy promises 1) accurate and robust acquisition of MR spectra from gray and white matter with minimum cross contamination from other compartments, 2) shorter scan time and 3) flexibility in compartmental shapes that match anatomical structures.

Target Audience

Scientists and technologists who are interested in advanced in vivo 1H MRS methods to measure neurochemicals in a region-specific and/or tissue type-specific manner.

Introduction

Metabolic processes differ between gray (GM) and white matter (WM) in the human brain, and significantly different spectral patterns and metabolite concentrations were measured in 1H MRS. Differential GM and WM pathology and tissue-type specific neurochemical alterations are often observed in neurological disorders. Thus, reliable 1H MRS measurement of GM or WM is important in clinical applications. However, current 1H MRS acquisition strategies present significant challenges in ascertaining exclusive metabolite quantification of GM and WM. One of commonly used methods, CSI regression analysis with GM and WM tissue fractions, which extrapolates metabolite concentrations from each compartment 1, suffers from extrapolation errors due to a narrow range of tissue fraction values. BASE-SLIM 2, an advanced form of Spectral Localization by Imaging (SLIM) promises reliable measurements of 1H MRS in GM and WM 3 as BASE-SLIM incorporates information of anatomical contours of GM and WM boundaries. In this study, we demonstrate significantly improved localization accuracy in compartments with arbitrary shapes, e.g., GM and WM, and consistent and reliable measurement of metabolites in the human brain using the BASE-SLIM technique.

Methods

Eleven healthy subjects (29 ± 4 yrs, mean±SD) were studied at 3 T (Skyra, Siemens) with a 16 channel head receive coil. The 1H CSI was acquired using a semi-LASER sequence 4 (TE/TR=35/1600ms, matrix=16x16, FOV=20cm) with the slab positioned across the prefrontal to parietal lobes. B0 and coil sensitivity (B1) maps were acquired using gradient echo sequences (TE=4.92/7.38ms for B0, TE=2.07ms for B1). BASE-SLIM reconstruction was performed using the CSI k-space data, B0 and B1 maps, and high resolution GM and WM segmentation masks. Coil combination of each 1H MR spectrum from 16 channels was performed to maximize SNR with a maximal ratio combining scheme using the signal and noise spectral power estimates. Metabolite concentrations were quantified using LCModel 3 and non-suppressed water scan as a concentration reference. CSI voxels with greater than 75% tissue fraction were selected for the regression analysis. The GM and WM regions covered in BASE-SLIM were identical to the CSI ROI in the regression analysis. BASE-SLIM reconstruction was implemented as previously described 2, involving an expanded geometry matrix for multiple coil sensitivity profiles and a time-dependent solution for B0 corrections.

Results and Discussion

BASE-SLIM reconstruction was successfully applied to obtain 1H MR spectra from GM and WM in the human brain. Distinctive spectral patterns of GM and WM were observed in all spectra acquired from the fronto-parietal regions of eleven subjects (Fig. 1), which showed a lower ratio of Cho (3.17 ppm) to Cr (3.03 ppm), and higher Glu+Gln (around 2.25 ppm) in GM, compared with those in WM. Consistent and reliable measurement of 1H MR spectra in GM and WM resulted in excellent averaged spectra over eleven subjects (Fig. 2). Quantification of metabolites in GM and WM showed that NAA and tCho in GM were 8% (p=0.03) and 22% (p=0.00001) lower than those in WM, and Cr, Glu+Gln, and myo-inositol in GM were 16% (p=0.001), 148% (p=0.00005), and 13% (p=0.004) higher in GM compared with those in WM. Metabolite concentrations from BASE-SLIM reconstruction were in agreement with the reported values using the extrapolated CSI regression for GM and WM 5. For the BASE-SLIM method, MR scan time can be significantly shorter than conventional CSI because BASE-SLIM requires much lower number of k-space encodings compared with the CSI regression analysis, which requires high spatial resolution for reliable determination of metabolite concentrations in GM and WM. Another important advantage of BASE-SLIM is the ability to choose any arbitrary shapes of compartments that match anatomical structures such as lesions and specific brain regions. In conclusion, BASE-SLIM based 1H MRS provides reliable quantication of metabolites in GM and WM with minimum cross contamination.

Acknowledgements

This work is partly supported by the National Institutes of Health (S10RR29577, UL1TR000001) and the Hoglund Family Foundation.

References

1. Hetherington et al., PNAS (1985) 3115.

2. Adany et al. PISMRM 21 (2013) 3967.

3. Adany et al. PISMRM 23 (2015) 4722.

4. Scheenen et al. MRM (2008) 1-6.

5. Wiebenga et al., NMR Biomed (2014) 304.

Figures

Fig 1. 1H MRS of gray and white matter using 3D BASE-SLIM showing individual spectra of healthy subjects (n=11). GM and WM compartments were delineated based on the CSI voxels used for comparison with regression-based quantification.

Fig 2. 1H MRS of gray and white matter group averaged spectra using 3D BASE-SLIM (n=11). Inset MRIs show gray (left) and white matter (right) compartments where the corresponding 1H MR spectra were acquired.



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