Verification, validation and sensitivity studies in computational biomechanics

Anderson, Andrew E.; Ellis, Benjamin J.; Weiss, Jeffrey A.

doi:10.1080/10255840601160484

Cited by 205 publications

(150 citation statements)

References 57 publications

(107 reference statements)

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“…The local properties can be computed with specimen-specific computational models, such as the finite element (FE) approach based on clinical (Dall' Ara et al, 2012, 2013a or preclinical high-resolution (Levchuk et al, 2014;Lu et al, 2017) images. Nevertheless, it should be noted that the models have to be rigorously validated (Anderson et al, 2007;Jones and Wilcox, 2008) for prediction of both apparent (Schileo et al, 2008;Wolfram et al, 2010;Zysset et al, 2013;Schwiedrzik et al, 2016) and local (Zauel et al, 2006;Chen et al, 2017;Costa et al, 2017;Gustafson et al, 2017) properties before their application.…”

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confidence: 99%

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

et al. 2017

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Accurate measurement of local strain in heterogeneous and anisotropic bone tissue is fundamental to understand the pathophysiology of musculoskeletal diseases, to evaluate the effect of interventions from preclinical studies, and to optimize the design and delivery of biomaterials. Digital volume correlation (DVC) can be used to measure the three-dimensional displacement and strain fields from micro-computed tomography (μCT) images of loaded specimens. However, this approach is affected by the quality of the input images, by the morphology and density of the tissue under investigation, by the correlation scheme, and by the operational parameters used in the computation. Therefore, for each application, the precision of the method should be evaluated. In this paper, we present the results collected from datasets analyzed in previous studies as well as new data from a recent experimental campaign for characterizing the relationship between the precision of two different DVC approaches and the spatial resolution of the outputs. Different bone structures scanned with laboratory source μCT or synchrotron light μCT (SRμCT) were processed in zero-strain tests to evaluate the precision of the DVC methods as a function of the subvolume size that ranged from 8 to 2,500 µm. The results confirmed that for every microstructure the precision of DVC improves for larger subvolume size, following power laws. However, for the first time, large differences in the precision of both local and global DVC approaches have been highlighted when SRμCT or in vivo μCT images were used instead of conventional ex vivo μCT. These findings suggest that in situ mechanical testing protocols applied in SRμCT facilities should be optimized to allow DVC analyses of localized strain measurements. Moreover, for in vivo μCT applications, DVC analyses should be performed only with relatively course spatial resolution for achieving a reasonable precision of the method. In conclusion, we have extensively shown that the precision of both tested DVC approaches is affected by different bone structures, different input image resolution, and different subvolume sizes. Before each specific application, DVC users should always apply a similar approach to find the best compromise between precision and spatial resolution of the measurements.

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confidence: 99%

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

et al. 2017

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“…To identify the optimal material model for bone and account for the intrinsic inter-and intra-patient variability, the design of proper experiments with the aim of 1) better characterizing bone material properties, and 2) providing a validation benchmark for numerical investigations [12]- [14] is required. Depending on the specific aim, such experimental tests can be performed at different timeand length-scales.…”

Section: Introductionmentioning

confidence: 99%

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

Grassi

Isaksson

2015

Journal of the Mechanical Behavior of Biomedical Materials

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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.

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“…In the current study, we used the same loading conditions as the majority of similar studies, why it is not possible to compare our results to Kim et al [18] The outer geometry of the bone was subject specific, but the thickness of the cortical bone was estimated in this study. Both Dalstra et al [29] and Anderson et al [30] combined an experimental study with a FE model of the pelvis modeled with either mean or position dependent cortical bone thickness [5,6]. For predicting von Mises stress in the cortical bone, a FE model with position-dependent cortical thickness performed better, though not significantly [6].…”

Section: Validationmentioning

confidence: 99%

Using a Finite Element Pediatric Hip Model in Clinical Evaluation - A Feasibility Study

Skytte

Mikkelsen

Sonne‐Holm

et al. 2017

J Bioengineer & Biomedical Sci

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The paper describe a method to construct a finite element model of the hip joint of a child based on clinical recorded CT data. A model which can be used for diagnostic aid and pre-operative surgical evaluation. First part of this development is a feasibility study of this method. A scan of the asymptomatic left hip of a 10-year-old girl with a dysplastic right hip was used. Cartilage was not visible why it was modeled as an interaction with constant thickness between two surfaces. For every point on the acetabular and femoral bone surfaces, the shortest distance to the other surface was used to calculate the resulting stress in the normal direction. At a load of 233% BW the model predicted peak pressures in the hip joint of 9.7-13.8 MPa and an area in contact of 351-405 mm 2 . Experimental validation using the hip joint of a child was not ethical viable. Instead, our results were compared to previous published experimental studies and computational models investigating the adult hip joint. Good correlation between the current model and previous models were found. The current case specific modeling technique may be a useful complement to the previously developed hip models.

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Verification, validation and sensitivity studies in computational biomechanics

Cited by 205 publications

References 57 publications

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

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

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

Using a Finite Element Pediatric Hip Model in Clinical Evaluation - A Feasibility Study

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