Literature DB >> 27992842

Strain uncertainties from two digital volume correlation approaches in prophylactically augmented vertebrae: Local analysis on bone and cement-bone microstructures.

Gianluca Tozzi1, Enrico Dall'Ara2, Marco Palanca3, Marco Curto1, Federica Innocente3, Luca Cristofolini3.   

Abstract

Combination of micro-focus computed tomography (micro-CT) in conjunction with in situ mechanical testing and digital volume correlation (DVC) can be used to access the internal deformation of materials and structures. DVC has been exploited over the past decade to measure complex deformation fields within biological tissues and bone-biomaterial systems. However, before adopting it in a clinically-relevant context (i.e. bone augmentation in vertebroplasty), the research community should focus on understanding the reliability of such method in different orthopaedic applications involving the use of biomaterials. The aim of this study was to evaluate systematic and random errors affecting the strain computed with two different DVC approaches (a global one, "ShIRT-FE", and a local one, "DaVis-DC") in different microstructures within augmented vertebrae, such as trabecular bone, cortical bone and cement-bone interdigitation. The results showed that systematic error was insensitive to the size of the computation sub-volume used for the DVC correlation. Conversely, the random error (which was generally the largest component of error) was lower for a 48-voxel (1872micrometer) sub-volume (64-221 microstrain for ShIRT-FE, 88-274 microstrain for DaVis-DC), than for a 16-voxel (624micrometer) sub-volume (359-1203 microstrain for ShIRT-FE, 960-1771 microstrain for DaVis-DC) for the trabecular and cement regions. Overall, the local random error did not appear to be influenced by either bone microarchitecture or presence of biomaterial. For the 48-voxel sub-volume the global approach was less sensitive to the gradients in grey-values at the cortical surface (random error below 200 microstrain), while the local approach showed errors up to 770 microstrain. Mean absolute error (MAER) and standard deviation of error (SDER) were also calculated and substantially improved when compared to recent literature for the cement-bone interface. The multipass approach for DaVis-DC further reduced the random error for the largest volume of interest. The random error did not follow any recognizable pattern with the six strain components and only ShiRT-FE seemed to produce lower random errors in the normal strains. In conclusion this study has provided, for the first time, a preliminary indication of the reliability and limitations for the application of DVC in estimating the micromechanics of bone and cement-bone interface in augmented vertebrae.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Augmented vertebrae; Bone; Digital volume correlation; Micro-CT; Strain uncertainties

Mesh:

Substances:

Year:  2016        PMID: 27992842     DOI: 10.1016/j.jmbbm.2016.12.006

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  6 in total

1.  Open-porous magnesium-based scaffolds withstand in vitro corrosion under cyclic loading: A mechanistic study.

Authors:  Roxane Bonithon; Colin Lupton; Marta Roldo; Joseph Nicholas Dunlop; Gordon William Blunn; Frank Witte; Gianluca Tozzi
Journal:  Bioact Mater       Date:  2022-04-29

2.  Micro Finite Element models of the vertebral body: Validation of local displacement predictions.

Authors:  Maria Cristiana Costa; Gianluca Tozzi; Luca Cristofolini; Valentina Danesi; Marco Viceconti; Enrico Dall'Ara
Journal:  PLoS One       Date:  2017-07-11       Impact factor: 3.240

3.  Comparison of bone formation mediated by bone morphogenetic protein delivered by nanoclay gels with clinical techniques (autograft and InductOs®) in an ovine bone model.

Authors:  Cameron Black; David Gibbs; Josephine McEwan; Janos Kanczler; Marta Peña Fernández; Gianluca Tozzi; Jonathan Dawson; Richard Oreffo
Journal:  J Tissue Eng       Date:  2022-09-16       Impact factor: 7.940

Review 4.  Digital volume correlation for the characterization of musculoskeletal tissues: Current challenges and future developments.

Authors:  Enrico Dall'Ara; Gianluca Tozzi
Journal:  Front Bioeng Biotechnol       Date:  2022-10-04

5.  Quantifying 3D Strain in Scaffold Implants for Regenerative Medicine.

Authors:  Jeffrey N Clark; Saman Tavana; Agathe Heyraud; Francesca Tallia; Julian R Jones; Ulrich Hansen; Jonathan R T Jeffers
Journal:  Materials (Basel)       Date:  2020-09-03       Impact factor: 3.623

6.  Exploratory Full-Field Mechanical Analysis across the Osteochondral Tissue-Biomaterial Interface in an Ovine Model.

Authors:  Jeffrey N Clark; Agathe Heyraud; Saman Tavana; Talal Al-Jabri; Francesca Tallia; Brett Clark; Gordon W Blunn; Justin P Cobb; Ulrich Hansen; Julian R Jones; Jonathan R T Jeffers
Journal:  Materials (Basel)       Date:  2020-09-04       Impact factor: 3.623

  6 in total

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