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Updated: Feb 13, 2026

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography
Published on: May 10, 2022
High-resolution magnetic resonance elastography reveals differences in subcortical gray matter viscoelasticity
Lucy V Hiscox1, Curtis L Johnson2, Matthew D J McGarry3
1Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK; Edinburgh Imaging facility QMRI, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
Abstract:
Volumetric structural magnetic resonance imaging (MRI) is commonly used to determine the extent of neuronal loss in aging, indicated by cerebral atrophy. The brain, however, exhibits other biophysical characteristics such as mechanical properties, which can be quantified with magnetic resonance elastography (MRE). MRE is an emerging noninvasive imaging technique for measuring viscoelastic tissue properties, proven to be sensitive metrics of neural tissue integrity, as described by shear stiffness, micro and damping ratio, ξ parameters. The study objective was to evaluate global and regional MRE parameter differences between young (19-30 years, n = 12) and healthy older adults (66-73 years, n = 12) and to assess whether MRE measures provide additive value over volumetric magnetic resonance imaging measurements. We investigated the viscoelasticity of the global cerebrum and 6 regions of interest (ROIs) including the amygdala, hippocampus, caudate, pallidum, putamen, and thalamus. In older adults, we found a decrease in micro in all ROIs, except for the hippocampus, indicating widespread brain softening; an effect that remained significant after controlling for ROI volume. In contrast, the relative viscous-to-elastic behavior of the brain ξ did not differ between age groups, suggesting a preservation of the organization of the tissue microstructure. These data support the use of MRE as a novel imaging biomarker for characterizing age-related differences to neural tissue not captured by volumetric imaging alone.
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