Improving magnetic resonance spectroscopy in the brainstem periaqueductal grey using spectral registration

Abstract

AbstractPurposeFunctional understanding of the periaqueductal grey (PAG), a clinically relevant brainstem region, can be advanced using proton magnetic resonance spectroscopy (1H-MRS). However, the PAG’s small size and high levels of physiological noise are methodologically challenging. This study aimed to (1) improve1H-MRS quality in the PAG using spectral registration for frequency and phase error correction, (2) investigate whether spectral registration is particularly useful in cases of greater head motion and (3) examine metabolite quantification using literature-based or individual-based water relaxation times.MethodsSpectra were acquired in 33 healthy volunteers (50.1 years, SD=17.19, 18 females) on a 3T Philipps MR system using a point-resolved spectroscopy sequence optimized with very selective saturation pulses (OVERPRESS) and voxel-based flip angle calibration (effective volume of interest size: 8.8×10.2×12.2 mm3). Spectra were fitted using LCModel and signal-to-noise ratios (SNR), N-acetylaspartate peak linewidths and Cramér-Rao lower bounds (CRLBs) were measured after spectral registration and after minimal frequency alignment.ResultsSpectral registration improved SNR by 5 % (p=0.026, median value post-correction: 18.0) and spectral linewidth by 23 % (p<0.001, 4.3 Hz), and reduced the metabolites’ CRLBs by 1-15 % (p’s<0.026). Correlational analyses revealed smaller SNR improvements with greater head motion (p=0.010) recorded using a markerless motion tracking system. Higher metabolite concentrations were detected using individual-based compared to literature-based water relaxation times (p’s<0.001).ConclusionThis study demonstrates high-quality1H-MRS acquisition in the PAG using spectral registration. This shows promise for future1H-MRS studies in the PAG and possibly also other clinically relevant brain regions with similar methodological challenges.