The application of digital volume correlation (DVC) to study the microstructural behaviour of trabecular bone during compression

Gillard, F.; Boardman, Richard; Mavrogordato, Mark; Hollis, David; Sinclair, Ian; Pierron, Fabrice; Browne, Martin

doi:10.1016/j.jmbbm.2013.09.014

Cited by 133 publications

(152 citation statements)

References 67 publications

Supporting

Mentioning

146

Contrasting

Order By: Relevance

“…Moreover, the long acquisition time currently limits the usability to experiments where the real time strain response is not crucial. [16] 10-792 μɛ [52] FIGURES Figure 1: The four strain measurement techniques reviewed: a) grating sensors, c) digital image correlation, and d) digital volume correlation. these techniques, a schematic of the working principle is shown on the right, and an example of application to bone mechanics is Parts of the figure are reprinted from IOP.…”

Section: Discussionmentioning

confidence: 99%

“…However, it has to be observed that measuring over the yield point has other drawbacks. It is in fact not possible to obtain a good correlation value between excessively distorted subsets [16].…”

Section: Digital Volume Correlationmentioning

confidence: 99%

“…The need for accurate quantification of the measurement inaccuracies in DVC measurements was addressed by Gillard et al [16], with a study on porcine trabecular bone. Five repeated µCT scans were performed (HMX ST, Nikon Metrology, 24.6 µm voxel size, 105 kVp) on the same specimen, the first three without moving the sample, and the last two after shifting it by 125 µm in the vertical direction.…”

Section: Most Relevant Studiesmentioning

confidence: 99%

“…When compared to DIC with digital images, the use of X-ray tomographic reconstructions to calculate the strain field leads to two additional sources of noise, namely: (i) the noise of the tomographic images, which is generally higher than that of digital images, and (ii) that it is impossible to apply an artificial speckle pattern to enhance the correlation. The majority of studies adopting DVC on bone samples [16], [23], [51], investigated bone mechanical properties at the tissue-level. This is because the trabecular bone at the tissue-level consists of a spongy network which is very well suitable for the calculation of a correlation coefficient between subsets of such network.…”

Section: Digital Volume Correlationmentioning

confidence: 99%

“…The noise of the DVC measurements was also found to be related to the intrinsic noise of the tomographic images. Dall'Ara et al [52] also compared their accuracy and precision with those achieved by [16] when equivalent correlation parameters (two different DVC approaches were adopted in the two studies) were used. They found that the FFT-DVC approach in [16] achieved a better accuracy in the stationary test (i.e., repeated scans without repositioning), whereas the method by [52] performed better in when the specimen was repositioned after the first scan.…”

Section: Digital Volume Correlationmentioning

confidence: 99%

See 4 more Smart Citations

Extracting accurate strain measurements in bone mechanics: A critical review of current methods

Grassi

Isaksson

2015

Journal of the Mechanical Behavior of Biomedical Materials

View full text Add to dashboard Cite

Osteoporosis related fractures are a social burden that advocates for more accurate fracture prediction methods. Mechanistic methods, e.g. finite element models, have been proposed as a tool to better predict bone mechanical behaviour and strength. However, there is little consensus about the optimal constitutive law to describe bone as a material. Extracting reliable and relevant strain data from experimental tests is of fundamental importance to better understand bone mechanical properties, and to validate numerical models.Several techniques have been used to measure strain in experimental mechanics, with substantial differences in terms of accuracy, precision, time-and length-scale. Each technique presents upsides and downsides that must be carefully evaluated when designing the experiment. Moreover, additional complexities are often encountered when applying such strain measurement techniques to bone, due to its complex composite structure. 2This review of literature examined the four most commonly adopted methods for strain measurements (strain gauges, fibre Bragg grating sensors, digital image correlation, and digital volume correlation), with a focus on studies with bone as a substrate material, at the organ and tissue level. For each of them the working principles, a summary of the main applications to bone mechanics at the organ-and tissue-level, and a list of pros and cons are provided.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Digital Volume Correlationmentioning

confidence: 99%

Section: Most Relevant Studiesmentioning

confidence: 99%

Section: Digital Volume Correlationmentioning

confidence: 99%

Section: Digital Volume Correlationmentioning

confidence: 99%

See 3 more Smart Citations

Extracting accurate strain measurements in bone mechanics: A critical review of current methods

Grassi

Isaksson

2015

Journal of the Mechanical Behavior of Biomedical Materials

View full text Add to dashboard Cite

show abstract

Advanced Micro‐Lattice Materials

et al. 2015

View full text Add to dashboard Cite

Topological management of materials at a Micro‐scale is one of the fundamental building principles of nature. This combination of material and structural properties results in marked changes in the properties of solids. Nowadays physicists, chemists, materials scientists and engineers explore those effects by synthesizing, characterizing, and modeling Micro‐lattice materials from all material classes. Applications have been identified in the fields of ultra‐lightweight structures, thermal equipment, electrochemical devices, high absorption capacity and bio‐repair materials. This article aims to review recent progress in the development of such advanced Micro‐lattice materials.

show abstract

Biomineralized Materials as Model Systems for Structural Composites: 3D Architecture

Jia

Deng

2022

Advanced Materials

View full text Add to dashboard Cite

Biomineralized materials are sophisticated material systems with hierarchical 3D material architectures, which are broadly used as model systems for fundamental mechanical, materials science, and biomimetic studies. The current knowledge of the structure of biological materials is mainly based on 2D imaging, which often impedes comprehensive and accurate understanding of the materials’ intricate 3D microstructure and consequently their mechanics, functions, and bioinspired designs. The development of 3D techniques such as tomography, additive manufacturing, and 4D testing has opened pathways to study biological materials fully in 3D. This review discusses how applying 3D techniques can provide new insights into biomineralized materials that are either well known or possess complex microstructures that are challenging to understand in the 2D framework. The diverse structures of biomineralized materials are characterized based on four universal structural motifs. Nacre is selected as an example to demonstrate how the progression of knowledge from 2D to 3D can bring substantial improvements to understanding the growth mechanism, biomechanics, and bioinspired designs. State‐of‐the‐art multiscale 3D tomographic techniques are discussed with a focus on their integration with 3D geometric quantification, 4D in situ experiments, and multiscale modeling. Outlook is given on the emerging approaches to investigate the synthesis–structure–function–biomimetics relationship.

show abstract

The application of digital volume correlation (DVC) to study the microstructural behaviour of trabecular bone during compression

Cited by 133 publications

References 67 publications

Extracting accurate strain measurements in bone mechanics: A critical review of current methods

Extracting accurate strain measurements in bone mechanics: A critical review of current methods

Advanced Micro‐Lattice Materials

Biomineralized Materials as Model Systems for Structural Composites: 3D Architecture

Contact Info

Product

Resources

About