Literature DB >> 33770585

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

Yang Li1, Ruth Okamoto2, Andrew Badachhape2, Chengwei Wu3, Philip Bayly2, Nitin Daphalapurkar4.   

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. Published by Elsevier Ltd.

Entities:  

Keywords:  Brain biomechanics; Finite element method; Shear waves; Viscoelasticity

Mesh:

Year:  2021        PMID: 33770585     DOI: 10.1016/j.jmbbm.2021.104449

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  1 in total

1.  Impact of material homogeneity assumption on cortical stiffness estimates by MR elastography.

Authors:  Jonathan M Scott; KowsalyaDevi Pavuluri; Joshua D Trzasko; Armando Manduca; Matthew L Senjem; John Huston; Richard L Ehman; Matthew C Murphy
Journal:  Magn Reson Med       Date:  2022-04-05       Impact factor: 3.737

  1 in total

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