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Open AccessArticle

3D Strain and Elasticity Measurement of Layered Biomaterials by Optical Coherence Elastography based on Digital Volume Correlation and Virtual Fields Method

Department of Mechanical Engineering, Tianjin Key Laboratory of Modern Engineering Mechanics, Tianjin University, No. 135 Yaguan Road, Tianjin 300354, China
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Appl. Sci. 2019, 9(7), 1349; https://doi.org/10.3390/app9071349
Received: 9 February 2019 / Revised: 9 March 2019 / Accepted: 21 March 2019 / Published: 30 March 2019
(This article belongs to the Special Issue Advances in Digital Image Correlation (DIC))
The three-dimensional (3D) mechanical property characterization of biological tissues is essential for physiological and pathological studies. A digital volume correlation (DVC) and virtual fields method (VFM) based 3D optical coherence elastography (OCE) method is developed to quantitatively measure the 3D full-field displacements, strains and elastic parameters of layered biomaterials assuming the isotropy and homogeneity of each layer. The integrated noise-insensitive DVC method can obtain the 3D strain tensor with an accuracy of 10%. Automatic segmentation of the layered materials is realized based on the full field strain and strain gradient. With the strain tensor as input, and in combination with the segmented geometry, the Young’s modulus and Poison’s ratio of each layer of a double-layered material and a pork specimen are obtained by the VFM. This study provides a powerful experimental method for the differentiation of various components of heterogeneous biomaterials, and for the measurement of biomechanics. View Full-Text
Keywords: 3D deformation; digital volume correlation; optical coherence elastography; virtual fields method; layered material 3D deformation; digital volume correlation; optical coherence elastography; virtual fields method; layered material
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MDPI and ACS Style

Meng, F.; Zhang, X.; Wang, J.; Li, C.; Chen, J.; Sun, C. 3D Strain and Elasticity Measurement of Layered Biomaterials by Optical Coherence Elastography based on Digital Volume Correlation and Virtual Fields Method. Appl. Sci. 2019, 9, 1349.

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