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Updated: Jun 6, 2026
07:50
Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation
Published on: January 27, 2023
Curvatures with uncertainties derived in conformal space to characterize tendon microstructure
Ann K Harvey1, Tunde Szilagyi, Michael Brady
1Department of Engineering Science, Oxford University, OX1 3PJ, UK. harvey@robots.ox.ac.uk
Summary
Researchers developed a new microscopic method to analyze tendon structure and repair. Damaged tendons show lower and more varied curvature values compared to healthy tendons, aiding in injury diagnosis.
Area of Science:
- Biomedical Engineering
- Materials Science
- Orthopedics
Background:
- Growing need for non-invasive methods to diagnose tendon injuries and monitor healing.
- Limited understanding of tendon structure-function relationship and extracellular matrix (ECM) role.
- Previous work assessed macroscopic tendon damage using MRI.
Purpose of the Study:
- To present a novel methodology for microscopic structural description of tendon tissue.
- To investigate the link between tendon structure and function at a microscopic level.
- To differentiate between healthy and damaged tendon tissue based on microscopic structural features.
Main Methods:
- Derivation of curvature values from the conformal monogenic signal.
- Utilized non-parametric noise properties and a 1D feature-based uncertainty measure.
- Employed an iterative framework using Hidden Markov Measure Field (HMMF) to handle noise.
Main Results:
- Successfully enabled structural description of tendon tissue at a microscopic level.
- Demonstrated that normal tendon tissue exhibits higher and more homogenous curvature values.
- Showed that damaged tendon tissue has lower and less homogenous curvature values compared to normal tissue.
Conclusions:
- The developed HMMF-based methodology provides a robust way to analyze microscopic tendon structure.
- Microscopic curvature analysis can effectively distinguish between healthy and damaged tendon tissue.
- This approach offers potential for improved diagnosis and monitoring of tendon injuries.
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