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Open AccessArticle

A Strain Distribution Sensing System for Bone-Implant Interfaces Based on Digital Speckle Pattern Interferometry

1
College of Information Science and Technology, Donghua University, Shanghai 201620, China
2
Department of Applied Physics, Donghua University, Shanghai 201620, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(2), 365; https://doi.org/10.3390/s19020365
Received: 12 December 2018 / Revised: 13 January 2019 / Accepted: 16 January 2019 / Published: 17 January 2019
(This article belongs to the Special Issue Optical Bio Sensing)
This paper aims to provide an effective measurement method for the distribution of deformations and strains focusing on the response to external loading of bone-implant interfaces. To achieve this target, a novel speckle interference imaging method is proposed by introducing phosphate buffer saline medium, in which the samples were completely placed into a phosphate buffer saline solution medium to stable the water molecules. The stability of interferometry imaging is analyzed by using the concepts of co-occurrence matrix and moment of inertia. A series of experiments to measure load-driven deformation and strain in the bone-implant interface was carried out, and the experiments results were analyzed and discussed. It shows that the proposed method is feasible and effective for the no-contact strain measurements of biomaterials in a physiological condition. The proposed strain distribution sensing system will contribute to evaluating computational simulations and improving selection of implant designs and materials. View Full-Text
Keywords: strain distribution detection; speckle interference imaging; phosphate buffer saline solution; digital speckle pattern interferometry; bone-implant interface strain distribution detection; speckle interference imaging; phosphate buffer saline solution; digital speckle pattern interferometry; bone-implant interface
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MDPI and ACS Style

Zhong, P.; Li, Z.; Yang, H.; Tang, X.; He, G. A Strain Distribution Sensing System for Bone-Implant Interfaces Based on Digital Speckle Pattern Interferometry. Sensors 2019, 19, 365.

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