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Related Experiment Video

Updated: May 19, 2026

Ultrasound Tissue Characterization of Human Achilles Tendon by Stability Quantification of Echo Patterns

Ultrasound Tissue Characterization of Human Achilles Tendon by Stability Quantification of Echo Patterns

Published on: September 5, 2025

Tendon motion and strain patterns evaluated with two-dimensional ultrasound elastography.

Laura A Chernak¹, Darryl G Thelen

¹Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. lchernak@wisc.edu

Journal of Biomechanics

|September 4, 2012

Summary

Two-dimensional ultrasound elastography effectively measures tendon motion and strain during loading. This non-invasive technique accurately assesses tissue behavior, showing repeatable results for biomechanical analysis.

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Area of Science:

Biomechanics
Medical Imaging
Tissue Engineering

Background:

Tendon injuries require accurate assessment of tissue mechanics.
Non-invasive methods for evaluating tendon strain are needed.
Ultrasound elastography offers potential for in vivo tissue characterization.

Purpose of the Study:

To evaluate 2D ultrasound elastography for assessing tendon tissue motion and strain.
To quantify tendon deformation under controlled axial loading.
To validate elastography-derived strain measurements against established methods.

Main Methods:

Porcine flexor tendons were subjected to cyclic axial loading (4% peak strain).
2D ultrasound elastography captured radiofrequency data during loading.
Cross-correlation analysis of ultrasound frames tracked nodal displacements.
Displacement data were differentiated to estimate transverse tissue strains.

Main Results:

Nodal displacements showed high correlation (r=0.99) with applied loading.
Elastography-derived transverse strains were repeatable and consistent with width changes.
Measured Poisson's ratios (0.82-1.64) align with prior tendon studies.
The method demonstrated reliable assessment of 2D tissue motion and strain patterns.

Conclusions:

2D ultrasound elastography is a promising non-invasive tool for evaluating tendon biomechanics.
The technique accurately measures localized tissue motion and strain under load.
This approach has potential applications in diagnosing and monitoring tendon pathologies.