Characterizing brain mechanics through 7 Tesla magnetic resonance elastography

Abstract Magnetic resonance elastography (MRE) is a non-invasive method for determining the mechanical response of tissues using applied harmonic deformation and motion-sensitive MRI. MRE studies of the human brain are typically performed at conventional field strengths, with a few attempts at the ultra-high field strength, 7T, reporting increased spatial resolution with partial brain coverage. Achieving high-resolution human brain scans using 7T MRE presents unique challenges of decreased octahedral shear strain-based signal-to-noise ratio (OSS-SNR) and lower shear wave motion sensitivity. In this study, we establish high resolution MRE at 7T with a custom 2D multi-slice single-shot spin-echo EPI sequence, using the Gadgetron advanced image reconstruction framework, applying Marchenko-Pastur Principal Component Analysis denoising, and using Nonlinear Viscoelastic Inversion. These techniques allowed us to calculate the viscoelastic properties of the whole human brain at 1.1mm isotropic imaging resolution with high OSS-SNR and repeatibility. Using phantom models and 7T MRE data of eighteen healthy volunteers, we demonstrate the robustness of our method at high resolution while quantifying the feasible tradeoff between resolution, OSS-SNR, and scan time. Using these post-processing techniques, we significantly increased OSS-SNR at 1.1mm resolution with whole-brain coverage by approximately 4-fold and generated elastograms with high anatomical detail. Performing high-resolution MRE at 7T on the human brain can provide information on different substructures within brain tissue based on their mechanical properties, which can then be used to diagnose pathologies (e.g., Alzheimer’s disease), indicate disease progression, or better investigate neurodegeneration effects or other relevant brain disorders, in vivo.