Literature DB >> 27814973

Digital volume correlation can be used to estimate local strains in natural and augmented vertebrae: An organ-level study.

Marco Palanca1, Luca Cristofolini2, Enrico Dall'Ara3, Marco Curto4, Federica Innocente1, Valentina Danesi1, Gianluca Tozzi5.   

Abstract

Digital Volume Correlation (DVC) has become popular for measuring the strain distribution inside bone structures. A number of methodological questions are still open: the reliability of DVC to investigate augmented bone tissue, the variability of the errors between different specimens of the same type, the distribution of measurement errors inside a bone, and the possible presence of preferential directions. To address these issues, five augmented and five natural porcine vertebrae were subjected to repeated zero-strain micro-CT scan (39μm voxel size). The acquired images were processed with two independent DVC approaches (a local and a global one), considering different computation sub-volume sizes, in order to assess the strain measurement uncertainties. The systematic errors generally ranged within ±100 microstrain and did not depend on the computational sub-volume. The random error was higher than 1000 microstrain for the smallest sub-volume and rapidly decreased: with a sub-volume of 48 voxels the random errors were typically within 200 microstrain for both DVC approaches. While these trends were rather consistent within the sample, two individual specimens had unpredictably larger errors. For this reason, a zero-strain check on each specimen should always be performed before any in-situ micro-CT testing campaign. This study clearly shows that, when sufficient care is dedicated to preliminary methodological work, different DVC computation approaches allow measuring the strain with a reduced overall error (approximately 200 microstrain). Therefore, DVC is a viable technique to investigate strain in the elastic regime in natural and augmented bones.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Keywords:  Augmented and natural vertebrae; Digital Volume Correlation (DVC); Micro-CT; Strain measurement uncertainties

Mesh:

Year:  2016        PMID: 27814973     DOI: 10.1016/j.jbiomech.2016.10.018

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  7 in total

1.  Correlating Local Volumetric Tissue Strains with Global Lung Mechanics Measurements.

Authors:  Hari Arora; Ria L Mitchell; Richard Johnston; Marinos Manolesos; David Howells; Joseph M Sherwood; Andrew J Bodey; Kaz Wanelik
Journal:  Materials (Basel)       Date:  2021-01-18       Impact factor: 3.623

Review 2.  Full-field in vitro investigation of hard and soft tissue strain in the spine by means of Digital Image Correlation.

Authors:  Maria Luisa Ruspi; Marco Palanca; Cesare Faldini; Luca Cristofolini
Journal:  Muscles Ligaments Tendons J       Date:  2018-04-16

3.  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

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.  Full-Field Strain Uncertainties and Residuals at the Cartilage-Bone Interface in Unstained Tissues Using Propagation-Based Phase-Contrast XCT and Digital Volume Correlation.

Authors:  Gianluca Tozzi; Marta Peña Fernández; Sarah Davis; Aikaterina Karali; Alexander Peter Kao; Gordon Blunn
Journal:  Materials (Basel)       Date:  2020-06-05       Impact factor: 3.623

6.  Exploratory Full-Field Strain Analysis of Regenerated Bone Tissue from Osteoinductive Biomaterials.

Authors:  Marta Peña Fernández; Cameron Black; Jon Dawson; David Gibbs; Janos Kanczler; Richard O C Oreffo; Gianluca Tozzi
Journal:  Materials (Basel)       Date:  2020-01-01       Impact factor: 3.623

7.  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

  7 in total

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