Mechanical properties of brain tissue by indentation: Interregional variation

Dommelen, van Jaw Hans; Sande, van der Tpj Tom; Hrapko, M Matej; Peters, Gwm Gerrit

doi:10.1016/j.jmbbm.2009.09.001

Cited by 246 publications

(206 citation statements)

References 42 publications

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“…As there is a lack of validated brain tissue properties, the realistic haptic sense of these models may be limited. 28,37 In addition, mechanical characterization of brain tissue has become an increasingly important topic in the understanding and treatment of central nervous system (CNS) pathology. [38][39][40] In the emerging field of CNS regenerative medicine, brain biomechanics are highly relevant for potential therapeutic strategies involving the implantation or injection of biomaterials.…”

Section: R E T R a C T E Dmentioning

confidence: 99%

RETRACTED: Experimental and numerical study on the mechanical behavior of rat brain tissue

et al. 2014

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Brain tissue is a very soft tissue in which the mechanical properties depend on the loading direction. While few studies have characterized these biomechanical properties, it is worth knowing that accurate characterization of the mechanical properties of brain tissue at different loading directions is a key asset for neuronavigation and surgery simulation through haptic devices. In this study, the hyperelastic mechanical properties of rat brain tissue were measured experimentally and computationally. Prepared cylindrical samples were excised from the parietal lobes of rats' brains and experimentally tested by a tensile testing machine. The effects of loading direction on the mechanical properties of brain tissue were measured by applying load on both longitudinal and circumferential directions. The general prediction ability of the proposed hyperelastic model was verified using finite element (FE) simulations of brain tissue tension experiments. The uniaxial experimental results compared well with those predicted by the FE models. The results revealed the influence of loading direction on the mechanical properties of brain tissue. The Ogden hyperelastic material model was suitably represented by the non-linear behavior of the brain tissue, which can be used in future biomechanical simulations. The hyperelastic properties of brain tissue provided here have interest to the medical research community as there are several applications where accurate characterization of these properties are crucial for an accurate outcome, such as neurosurgery, robotic surgery, haptic device design or car manufacturing to evaluate possible trauma due to an impact.

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Section: R E T R a C T E Dmentioning

confidence: 99%

RETRACTED: Experimental and numerical study on the mechanical behavior of rat brain tissue

et al. 2014

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“…Moreover, simulation models that contain detailed anatomical description but lack accurate validated descriptions of the mechanical properties are needed. As there is a lack of validated brain tissue properties, the realistic haptic sense of these models may be limited (Kaster et al, 2011;van Dommelen et al, 2010).…”

Section: R E T R a C T E Dmentioning

confidence: 99%

RETRACTED: Hyperelastic mechanical behavior of rat brain infected by Plasmodium berghei ANKA – Experimental testing and constitutive modeling

Karimi

Navidbakhsh

Beigzadeh

et al. 2013

International Journal of Damage Mechanics

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Malaria is known to alter the shape and mechanical properties of red blood cells. It is also shown that cerebral malaria changes the mechanical properties of brain tissue. While few studies have characterized these biomechanical changes, there is no clear report on the accurate mechanical characterization of infected brain tissue by malaria parasites. In this study, the hyperelastic mechanical behavior of rat brain tissue infected with Plasmodium berghei ANKA is computed through different constitutive equations. Hyperelastic strain energy density functions are calibrated using the experimental data previously obtained. The ability of different hyperelastic constitutive equations to define the nonlinear behavior of brain tissue is verified using finite element simulations. The results of mechanical characterization obtained by uniaxial test results are in a good agreement with those predicted by the finite element models. The Ogden model is shown as the best model that matches and represents the nonlinear behavior of both healthy and infected rat brain tissues. The results of this study can be used in future biomechanical simulations of brain tissue and have implication in neurosurgery, robotic surgery, and haptic device design where an accurate mechanical characterization of brain tissue is of crucial importance.

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“…It is very difficult, however, to use DST to illuminate the contribution of fiber stretch to the mechanical response. Studies using symmetric indentation or unconfined compression [20,22,23] alone do not detect anisotropy. Cox et al [24] used an inverse algorithm to extract anisotropic hyperelastic parameters using both the force-displacement curve from symmetric indentation and the principal stretches (determined by viewing the material under the tip with an optical microscope) combined with a computational model.…”

Section: Introductionmentioning

confidence: 96%

Elastic Characterization of Transversely Isotropic Soft Materials by Dynamic Shear and Asymmetric Indentation

Namani

Feng

Okamoto

et al. 2012

Journal of Biomechanical Engineering

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The mechanical characterization of soft anisotropic materials is a fundamental challenge because of difficulties in applying mechanical loads to soft matter and the need to combine information from multiple tests. A method to characterize the linear elastic properties of transversely isotropic soft materials is proposed, based on the combination of dynamic shear testing (DST) and asymmetric indentation. The procedure was demonstrated by characterizing a nearly incompressible transversely isotropic soft material. A soft gel with controlled anisotropy was obtained by polymerizing a mixture of fibrinogen and thrombin solutions in a high field magnet (B ¼ 11.7 T); fibrils in the resulting gel were predominantly aligned parallel to the magnetic field. Aligned fibrin gels were subject to dynamic (20-40 Hz) shear deformation in two orthogonal directions. The shear storage modulus was 1.08 6 0. 42 kPa (mean 6 std. dev.) for shear in a plane parallel to the dominant fiber direction, and 0.58 6 0.21 kPa for shear in the plane of isotropy. Gels were indented by a rectangular tip of a large aspect ratio, aligned either parallel or perpendicular to the normal to the plane of transverse isotropy. Aligned fibrin gels appeared stiffer when indented with the long axis of a rectangular tip perpendicular to the dominant fiber direction. Three-dimensional numerical simulations of asymmetric indentation were used to determine the relationship between direction-dependent differences in indentation stiffness and material parameters. This approach enables the estimation of a complete set of parameters for an incompressible, transversely isotropic, linear elastic material.

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Mechanical properties of brain tissue by indentation: Interregional variation

Cited by 246 publications

References 42 publications

RETRACTED: Experimental and numerical study on the mechanical behavior of rat brain tissue

RETRACTED: Experimental and numerical study on the mechanical behavior of rat brain tissue

RETRACTED: Hyperelastic mechanical behavior of rat brain infected by Plasmodium berghei ANKA – Experimental testing and constitutive modeling

Elastic Characterization of Transversely Isotropic Soft Materials by Dynamic Shear and Asymmetric Indentation

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