Identifiability of soft tissue constitutive parameters from in-vivo macro-indentation

Oddes, Zohar; Solav, Dana

doi:10.1016/j.jmbbm.2023.105708

Cited by 6 publications

(9 citation statements)

References 65 publications

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“…Thus subject-specific data were not required in this case. Constitutive behaviours defined from in vivo indentation tests were not used in the current study since these results may be biased by the modelling simplifications and the resulting identifiability parameter set may not be satisfying (Oddes and Solav, 2023). Further work will seek to address subject-specific material parameters, bulk modulus included, from inverse FE using MRI data such as tissue displacement and strain fields (Trebbi et al, 2022) and soft-tissue volume changes.…”

Section: Discussionmentioning

confidence: 99%

Current poisson’s ratio values of finite element models are too low to consider soft tissues nearly-incompressible: illustration on the human heel region

Fougeron,

Trebbi,

Keenan

et al. 2023

Computer Methods in Biomechanics and Biomedical Engineering

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Section: Discussionmentioning

confidence: 99%

Current poisson’s ratio values of finite element models are too low to consider soft tissues nearly-incompressible: illustration on the human heel region

Fougeron,

Trebbi,

Keenan

et al. 2023

Computer Methods in Biomechanics and Biomedical Engineering

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“…For the inverse FEA of an axisymmetric indentation test, we utilized the framework indentify (https://github.com/SolavLab/ indentify, v1.0.1) developed and made available by Oddes and Solav (2023) and adapted it to our needs. For pre-and postprocessing of the simulations, running in the FE solver FEBio v4.3 (Maas et al, 2012), we used MATLAB R2022b with the open-source toolbox GIBBON (Moerman, 2018).…”

Section: Axisymmetric Fe Modelmentioning

confidence: 99%

“…Friction between indenter tip and cylinder surface was omitted with a friction coefficient of zero using FEBio's sliding-elastic contact formulation. To reduce simulation time, only a cylinder sector of 2 °(Figure 6A) was solved with the meshing characteristics and boundary conditions described in detail by Oddes and Solav (2023).…”

Section: Axisymmetric Fe Modelmentioning

confidence: 99%

“…where λ i is the i th deviatoric principal stretch and J represents the volume ratio. For a nearly isochoric deformation, κ c 2 • 10 3 was selected (Moerman et al, 2017;Oddes and Solav, 2023).…”

Section: Constitutive Modelmentioning

confidence: 99%

“…Zhang et al (1997) and Marinopoulos et al (2020) view material property measurement of soft tissue with an indenter as an inverse problem, and Davies et al (2002) introduced an inverse engineering approach to solve the problem. However, extracting unique material parameters from indenter measurements can be difficult (Pierrat et al, 2018), because the inverse FEA might result in several parameter sets, which lead to similar experimental and simulation data with one or none being valid (Oddes and Solav, 2023). A possible approach to solve this problem is to measure the displacement of the surrounding surface, for example, via 3D digital image correlation (Solav et al, 2018), or an optical 3D deformation analyzer (Ahn and Kim, 2010).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Soft tissue material properties based on human abdominal in vivo macro-indenter measurements

Remus,

Sure,

Selkmann

et al. 2024

Front. Bioeng. Biotechnol.

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Simulations of human-technology interaction in the context of product development require comprehensive knowledge of biomechanical in vivo behavior. To obtain this knowledge for the abdomen, we measured the continuous mechanical responses of the abdominal soft tissue of ten healthy participants in different lying positions anteriorly, laterally, and posteriorly under local compression depths of up to 30 mm. An experimental setup consisting of a mechatronic indenter with hemispherical tip and two time-of-flight (ToF) sensors for optical 3D displacement measurement of the surface was developed for this purpose. To account for the impact of muscle tone, experiments were conducted with both controlled activation and relaxation of the trunk muscles. Surface electromyography (sEMG) was used to monitor muscle activation levels. The obtained data sets comprise the continuous force-displacement data of six abdominal measurement regions, each synchronized with the local surface displacements resulting from the macro-indentation, and the bipolar sEMG signals at three key trunk muscles. We used inverse finite element analysis (FEA), to derive sets of nonlinear material parameters that numerically approximate the experimentally determined soft tissue behaviors. The physiological standard values obtained for all participants after data processing served as reference data. The mean stiffness of the abdomen was significantly different when the trunk muscles were activated or relaxed. No significant differences were found between the anterior-lateral measurement regions, with exception of those centered on the linea alba and centered on the muscle belly of the rectus abdominis below the intertubercular plane. The shapes and areas of deformation of the skin depended on the region and muscle activity. Using the hyperelastic Ogden model, we identified unique material parameter sets for all regions. Our findings confirmed that, in addition to the indenter force-displacement data, knowledge about tissue deformation is necessary to reliably determine unique material parameter sets using inverse FEA. The presented results can be used for finite element (FE) models of the abdomen, for example, in the context of orthopedic or biomedical product developments.

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Extraction of hyper-elastic material parameters using BLSTM neural network from instrumented indentation

Shen,

Zhou,

et al. 2023

J Mech Sci Technol

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Identifiability of soft tissue constitutive parameters from in-vivo macro-indentation

Cited by 6 publications

References 65 publications

Current poisson’s ratio values of finite element models are too low to consider soft tissues nearly-incompressible: illustration on the human heel region

Current poisson’s ratio values of finite element models are too low to consider soft tissues nearly-incompressible: illustration on the human heel region

Soft tissue material properties based on human abdominal in vivo macro-indenter measurements

Extraction of hyper-elastic material parameters using BLSTM neural network from instrumented indentation

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