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Ultrasound Tissue Characterization of Human Achilles Tendon by Stability Quantification of Echo Patterns
08:11

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

Published on: September 5, 2025

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High variability in strain estimation errors when using a commercial ultrasound speckle tracking algorithm on tendon

Åsa Fröberg1, Mattias Mårtensson2, Matilda Larsson2

  • 1Karolinska Institutet, Department of Clinical Sciences, Intervention and Technology (Clintec), Division of Orthopaedics and Biotechnology, Stockholm, Sweden asa.froberg@ki.se.

Acta Radiologica (Stockholm, Sweden : 1987)
|January 21, 2016
PubMed
Summary

Ultrasound speckle tracking shows potential for Achilles tendon strain analysis but has high variability. Further research is needed to improve accuracy for clinical applications in tendon biomechanics.

Keywords:
Achilles tendonSpeckle trackingstrainultrasound

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Area of Science:

  • Biomechanics
  • Medical Imaging
  • Musculoskeletal Research

Background:

  • Ultrasound speckle tracking offers a non-invasive method for assessing Achilles tendon strain.
  • It enables new research into sports injuries and the effects of interventions on tendon biomechanics.

Purpose of the Study:

  • To evaluate the feasibility of a commercial ultrasound speckle tracking algorithm for tendon strain assessment.
  • To compare estimated strain with reference strain in various tissue samples.

Main Methods:

  • Tested a polyvinyl alcohol phantom, porcine tendons, and a human Achilles tendon under controlled loading.
  • Recorded ultrasound cine-loops and analyzed axial strain using commercial software.
  • Investigated the impact of frame rate and region of interest (ROI) size on strain estimation accuracy.

Main Results:

  • The polyvinyl alcohol phantom showed the best agreement between estimated and reference strain (0.21 ± 0.08%).
  • Absolute peak strain errors in tendon samples ranged from 0.72 ± 0.65% to 10.64 ± 3.40%.
  • Lower frame rates (39.4 Hz) and larger ROIs (22 mm) resulted in lower errors.

Conclusions:

  • Peak strain estimation using ultrasound speckle tracking exhibited significant variability across tendon samples.
  • The observed errors were substantial compared to previously reported Achilles tendon strain levels.
  • The current commercial algorithm's accuracy may limit its direct clinical application for precise Achilles tendon strain measurement.