THE USE OF DIGITAL IMAGE CORRELATION IN THE STUDY OF ACHILLES TENDON STRAIN FIELD
Keywords:measurement vision systems, digital image correlation, biomechanical measurements, human Achilles tendon
The paper presents an application of vision-based measurement method in experimental mechanics of biological materials. The displacement and strain fields of human Achilles tendon specimen under tensile test were computed using digital image correlation method. Different software applications, both commercial as well as open source ones, were compared. The performance of algorithms was tested based on a referential measurement, carried out by a commercial software with affine model of deformation implemented. The root mean square error of a difference between strain obtained using reference measurement and each of the analyzed programs was computed. Additionally, an example of full field computation of displacement and strain field was presented.
Arampatzis A., Peper A., Bierbaum S., Albracht K., 2010, Plasticity of human Achilles tendon mechanical and morphological properties in response to cyclic strain. Journal of Biomechanics 43, 3073–3079. https://doi.org/10.1016/j.jbiomech.2010.08.014
Bagheri Z.S., El Sawi I., Bougherara H., Zdero R., 2015, Biomechanical fatigue analysis of an advanced new carbon fiber/flax/epoxy plate for bone fracture repair using conventional fatigue tests and thermography. Journal of the Mechanical Behavior of Biomedical Materials 35, 27–38. https://doi.org/10.1016/j.jmbbm.2014.03.008
Bayliss A.J., Weatherholt A.M., Crandall T.T., Farmer D.L., McConnell J.C., Crossley K.M., Warden S.J., 2016, Achilles tendon material properties are greater in the jump leg of jumping athletes. Journal of Musculoskelet and Neuronal Interactions 16(2), 105–112.
Cyganik Ł., Binkowski M., Kokot G., Rusin T., Popik P., Bolechała F., Nowak R., Wróbel Z., John A., 2014, Prediction of Young’s modulus of trabeculae in microscale using macro-scale’s relationships between bone density and mechanical properties. Journal of the Mechanical Behavior of Biomedical Materials 36, 120–134. https://doi.org/10.1016/j.jmbbm.2014.04.011
Gillard F., Boardman R., Mavrogordato M., Hollis D., Sinclair I., Pierrona F., Browne M., 2014, The application of digital volume correlation (DVC) to study the microstructural behaviour of trabecular bone during compression. Journal of the Mechanical Behavior of Biomedical Materials 29, 480–499. https://doi.org/10.1016/j.jmbbm.2013.09.014
Helfenstein-Didier C., Andrade R.J., Brum J., Hug F., Tanter M., Nordez A., Gennisson J.L., 2016, In vivo quantification of the shear modulus of the human Achilles tendon during passive loading using shear wave dispersion analysis. Physics in Medicine and Biology 61, 2485–2496. https://doi.org/10.1088/0031-9155/61/6/2485
Koh I., López A., Helgason B., Ferguson S.J., 2014, The compressive modulus and strength of saturated calcium sulphate dehydrate cements: implications for testing standards. Journal of the Mechanical Behavior of Biomedical Materials 34, 187–198. https://doi.org/10.1016/j.jmbbm.2014.01.018
Latifi N., Miri A.K., Mongeau L., 2014, Determination of the elastic properties of rabbit vocal fold tissue using uniaxial tensile testing and a tailored finite element model. Journal of the Mechanical Behavior of Biomedical Materials 39, 366–374. https://doi.org/10.1016/j.jmbbm.2014.07.031
Ma S.P., Jin G.C., 2003, New correlation coefficients designed for digital speckle correlation method (DSCM). Proceedings of SPIE – The International Society for Optical Engineering 5058, 25–33.
Obst S.J., Newsham-West R., Barrett R.S., 2016, Changes in Achilles tendon mechanical properties following eccentric heel drop exercise are specific to the free tendon. Scandinavian Journal of Medicine and Science in Sports 26, 421–431. https://doi.org/10.1111/sms.12466
Pan B., Xie H., Xu B., Dai F., 2006, Performance of sub-pixel registration algorithms in digital image correlation. Measurement Science and Technology 17, 1615–1621. https://doi.org/10.1088/0957-0233/17/6/045
Rashid B., Destrade M., Gilchrist M.D., 2014, Mechanical characterization of brain tissue in tension at dynamic strain rates. Journal of the Mechanical Behavior of Biomedical Materials, Special Issue on Forensic Biomechanics, 33, 43–54.
Sahoo S., DeLozier K.R., Dumm R.A., Rosen M.J., Derwin K.A., 2014, Fiber-reinforced dermis graft for ventral hernia repair. Journal of the Mechanical Behavior of Biomedical Materials 34, 20–29. https://doi.org/10.1016/j.jmbbm.2014.03.001
Sutton M.A., Cheng M.Q., Peters W.H., Chao Y.J. and McNeill S.R., 1986, Application of an optimized digital correlation method to planar deformation analysis. Image and Vision Computing 4(3), 143–151. https://doi.org/10.1016/0262-8856(86)90057-0
Sutton M.A., Turner J.L., Bruck H.A. and Chae T.A., 1991, Full-field representation of discretely sampled surface deformation for displacement and strain analysis. Experimental Mechanics 31(2), 168–177. https://doi.org/10.1007/BF02327571
Takaza M., Moerman K.M., Simms C.K., 2013, Passive skeletal muscle response to impact loading: experimental testing and inverse modeling. Journal of the Mechanical Behavior of Biomedical Materials 27, 214–225. https://doi.org/10.1016/j.jmbbm.2013.04.016
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