Simulation of harmonic shear waves in the human brain and comparison with measurements from magnetic resonance elastography. (June 2021)

• Record Type: Journal Article
• Authors: Li, Yang; Okamoto, Ruth; Badachhape, Andrew; Wu, Chengwei; Bayly, Philip; Daphalapurkar, Nitin
• Is Part Of: Journal of the mechanical behavior of biomedical materials. Volume 118(2021)
• Publication Date: 2021-06
• Subjects: Brain biomechanics -- Shear waves -- Viscoelasticity -- Finite element method; Biomedical materials -- Periodicals; Biomedical materials -- Mechanical properties -- Periodicals; Biomedical materials; Biomedical materials -- Mechanical properties; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.jmbbm.2021.104449
• Languages: English
• ISSNs: 1751-6161

Abstract

Abstract: Magnetic Resonance Elastography (MRE) provides a non-invasive method to characterize the mechanical response of the living brain subjected to harmonic loading conditions. The peak magnitude of the harmonic strain is small and the excitation results in harmless deformation waves propagating through the brain. In this paper, we describe a three-dimensional computational model of the brain for comparison of simulated harmonic deformations of the brain with MRE measurements. Relevant substructures of the head were constructed from MRI scans. Harmonic wave motions in a live human brain obtained in an MRE experiment were used to calibrate the viscoelastic properties at 50 Hz and assess accuracy of the computational model by comparing the measured and the simulated harmonic response of the brain. Quantitative comparison of strain field from simulations with measured data from MRE shows that the harmonic deformation of the brain tissue is responsive to changes in the viscoelastic properties, loss and storage moduli, of the brain. The simulation results demonstrate, in agreement with MRE measurements, that the presence of the falx and tentorium membranes alter the spatial distribution of harmonic deformation field and peak strain amplitudes in the computational model of the brain.