Automated Tissue Strain Calculations Using Harris Corner Detection

The elastic modulus, or slope of the stress-strain curve, is an important metric for evaluating tissue functionality, particularly for load-bearing tissues such as tendon. The applied force can be tracked directly from a mechanical testing system and converted to stress using the tissue cross-sectio...

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Bibliographic Details
Published in:Annals of biomedical engineering 2022-05, Vol.50 (5), p.564-574
Main Authors: Elliott, Jake, Khandare, Sujata, Butt, Ali A., Smallcomb, Molly, Vidt, Meghan E., Simon, Julianna C.
Format: Article
Language:English
Subjects:
Achilles Tendon
Animals
Automation
Biochemistry
Biological and Medical Physics
Biomechanical Phenomena
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Biophysics
Classical Mechanics
Corner detection
Elastic Modulus
Mathematical analysis
Mechanical properties
Mechanical tests
Modulus of elasticity
Original Article
Rats
Rotator Cuff
Strain
Stress-strain curves
Subgroups
Tendons
Tissues
Tracking
Video post-production
Weight-Bearing
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Summary:The elastic modulus, or slope of the stress-strain curve, is an important metric for evaluating tissue functionality, particularly for load-bearing tissues such as tendon. The applied force can be tracked directly from a mechanical testing system and converted to stress using the tissue cross-sectional area; however, strain can only be calculated in post-processing by tracking tissue displacement from video collected during mechanical testing. Manual tracking of Verhoeff stain lines pre-marked on the tissue is time-consuming and highly dependent upon the user. This paper details the development and testing of an automated processing method for strain calculations using Harris corner detection. The automated and manual methods were compared in a dataset consisting of 97 rat tendons (48 Achilles tendons, 49 supraspinatus tendons), divided into ten subgroups for evaluating the effects of different therapies on tendon mechanical properties. The comparison showed that average percent differences between the approaches were 0.89% and -2.10% for Achilles and supraspinatus tendons, respectively. The automated approach reduced processing time by 83% and produced similar results to the manual method when comparing the different subgroups. This automated approach to track tissue displacements and calculate elastic modulus improves post-processing time while simultaneously minimizing user dependency.
ISSN:0090-6964
1573-9686
DOI:10.1007/s10439-022-02946-9