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Related Concept Videos

Elastic Strain Energy for Shearing Stresses01:20

Elastic Strain Energy for Shearing Stresses

As discussed in previous lessons, strain energy in a material is the energy stored when it is elastically deformed, a concept crucial in materials science and mechanical engineering. This energy results from the internal work done against the cohesive forces within the material. When a material undergoes shearing stress and corresponding shearing strain, the strain energy density, which is the energy stored per unit volume, is calculated. Within the elastic limit, where the stress is...

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Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth
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Radiofrequency electrode vibration-induced shear wave imaging for tissue modulus estimation: a simulation study.

Shyam Bharat, Tomy Varghese

    The Journal of the Acoustical Society of America
    |October 26, 2010
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    Summary

    This study advances quasi-static elastography for imaging radiofrequency ablation lesions. Dynamic vibrational perturbations enable shear wave tracking to quantify tissue stiffness, showing promise for lesion characterization.

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    Published on: May 18, 2015

    Area of Science:

    • Biomedical Engineering
    • Medical Imaging
    • Ultrasound Elastography

    Background:

    • Radiofrequency ablation (RFA) is used for treating abdominal organ lesions.
    • Accurate characterization of RFA lesions and surrounding tissue stiffness is crucial for treatment assessment.
    • Current elastography methods have limitations in dynamic assessment of lesion margins.

    Purpose of the Study:

    • To extend quasi-static electrode displacement elastography to dynamic vibrational perturbations.
    • To develop an algorithm for quantifying tissue stiffness using shear wave velocity.
    • To assess the feasibility of characterizing RFA lesions and normal tissue stiffness.

    Main Methods:

    • Utilized dynamic vibrational perturbations of an ablation electrode in quasi-static elastography.
    • Tracked shear wave propagation into surrounding tissue.
    • Employed a novel algorithm using time-to-peak displacement data from finite element analyses to calculate shear wave speed.

    Main Results:

    • Demonstrated the feasibility of estimating Young's modulus of tissue using the developed method.
    • Successfully quantified shear wave velocity for tissue characterization.
    • Simulation results indicate potential for differentiating lesion and normal tissue stiffness.

    Conclusions:

    • Dynamic vibrational perturbations enhance quasi-static elastography for in-vivo imaging.
    • The proposed method shows promise for accurate stiffness characterization of RFA-induced lesions.
    • This technique offers a valuable tool for assessing thermal lesion margins and surrounding tissue properties.