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      Precision of Digital Volume Correlation Approaches for Strain Analysis in Bone Imaged with Micro-Computed Tomography at Different Dimensional Levels

      , , , , ,
      Frontiers in Materials
      Frontiers Media SA

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          Image thresholding by minimizing the measures of fuzziness

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            Non-Local Means Denoising

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              Finite element analysis of the spine: towards a framework of verification, validation and sensitivity analysis.

              A number of papers have recently emphasised the importance of verification, validation and sensitivity testing in computational studies within the field of biomechanical engineering. This review examines the methods used in the development of spinal finite element models with a view to a standardised framework of verification, validation and sensitivity analysis. The scope of this paper is restricted to models of the vertebra, the intervertebral disc and short spinal segments. In the case of single vertebral models, specimen-specific methods have been developed, which allow direct validation against experimental tests. The focus of intervertebral disc modelling has been on representing the complex material properties and further sensitivity testing is required to fully understand the relative roles of these input parameters. In order to construct complex multi-component short segment models, many geometric and material parameters are required, some of which are yet to be fully characterised. There are also major challenges in terms of short segment model validation. Throughout the review, areas of good practise are highlighted and recommendations for future development are proposed, taking a step towards more robust spinal modelling procedures, promoting acceptance from the wider biomechanics community.
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                Author and article information

                Journal
                Frontiers in Materials
                Front. Mater.
                Frontiers Media SA
                2296-8016
                November 08 2017
                November 08 2017
                : 4
                Article
                10.3389/fmats.2017.00031
                387eee51-8399-4026-8738-d7690999176c
                © 2017
                History

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