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Updated: Jan 12, 2026

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography
Published on: May 10, 2022
Wide-band multifrequency MR elastography with a fractional viscoelastic model and nonlinear inversion for enhanced
Amirhosein Baradaran Najar1, Guillaume Gilbert2, Ning Li3
1Département de génie mécanique, Université de Sherbrooke, 2500 Bd de l'Université, Sherbrooke, Sherbrooke, Québec QC J1N 3C6, Canada; Laboratoire clinique de traitement de l'image (LCTI), Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec, Canada.
This study introduces a novel wide-band multifrequency magnetic resonance elastography (MRE) method. It integrates low-frequency cardiac motion with external vibrations to reveal frequency-dependent tissue properties for improved lesion detection.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Rheology
Background:
- Conventional magnetic resonance elastography (MRE) uses high-frequency external vibrations (30-60 Hz).
- This frequency range may miss diagnostically relevant low-frequency tissue responses.
- There is a need for MRE techniques that capture a wider range of mechanical behaviors.
Purpose of the Study:
- To develop and validate a wide-band, multifrequency MRE framework.
- To integrate intrinsic cardiac motion (≈1 Hz) with conventional MRE actuation.
- To reconstruct frequency-dependent tissue viscoelasticity using a Kelvin-Voigt fractional-derivative (KVFD) model.
Main Methods:
- A novel wide-band multifrequency MRE approach combining intrinsic cardiac motion and external actuation.
- Reconstruction of tissue mechanics using a three-parameter KVFD model (θ₀, α, ω₀).
- Validation using COMSOL simulations, tofu-PVA phantoms, and in-vivo hepatic metastasis imaging.
Main Results:
- The KVFD model accurately estimated baseline stiffness (θ₀), fractional exponent (α), and reference frequency (ω₀) in simulations with noise.
- Phantom studies demonstrated sensitivity to both stiffness and frequency-dependent dispersion.
- In-vivo liver metastasis imaging showed lesion contrast comparable to clinical MRI, with unique dispersion signatures.
Conclusions:
- Integrating low-frequency intrinsic motion expands MRE's mechanical bandwidth.
- The KVFD model provides stable, spatially resolved biomarkers capturing frequency-dependent behavior.
- This advanced MRE technique enhances lesion detection and characterization, particularly in oncology.
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