Brain mechanics For neurosurgery: modeling issues

Kyriacou, S.K.; Mohamed, Ashraf; Miller, Karol; Neff, Samuel

doi:10.1007/s10237-002-0013-0

Cited by 102 publications

(79 citation statements)

References 51 publications

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“…Nonetheless, the accurate interaction between vascular network and the deformation of surrounding tissue remains unclear. Furthermore, buoyancy effect may be important due to the low stiffness of the cerebral tissue since the brain is submerged in cerebrospinal fluid (CSF) and its weight is neutralized by the fluid pressure in a physiological condition [18] . Another limitation is so-called postmortem time.…”

Section: Discussionmentioning

confidence: 99%

“…To take the above effects into account, the procedure proposed by Wu et al [27] would provide a promising countermeasure, in which the real material parameters of biological soft tissues were extracted with the use of finite element analysis, i.e., they derived corrected material parameters by establishing a relationship between the apparent mechanical responses and the actual mechanical responses. But given the highly nonlinear 1 Effective shear modulus G can be calculated from the standard relation among G, Young's modulus E (~20-30 kPa), and Poisson's ratio υ (~0.5) as: [18] . Vol.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Mechanical Characterization of Brain Tissue in High-Rate Extension

Tamura

Hayashi

Nagayama

et al. 2008

JBSE

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Mechanical properties of brain tissue characterized in high-rate loading regime are indispensable for the analysis of traumatic brain injury (TBI). However, data on such properties are very limited. In this study, we measured transient response of brain tissue subjected to high-rate extension. A series of uniaxial extension tests at strain rates ranging from 0.9 to 25 s -1 and stress relaxation tests following a step-like displacement to different strain levels (15-50%) were conducted in cylindrical specimens obtained from fresh porcine brains. A strong rate sensitivity was found in the brain tissue, i.e., initial elastic modulus was 4.2 ± 1.6, 7.7 ± 4.0, and 18.6 ± 3.6 kPa (mean ± SD) for a strain rate of 0.9, 4.3, and 25 s -1 , respectively.In addition, the relaxation function was successfully approximated to be strain-time separable, i.e., material response can be expressed as a product of time-dependent and strain-dependent components as: , and σ e (ε ) is the peak stress following a step input of ε. Results of the present study will improve biofidelity of computational models of a human head and provide useful information for the analysis of TBI under injurious environments with strain rates greater than 10 s -1 .

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Mechanical Characterization of Brain Tissue in High-Rate Extension

Tamura

Hayashi

Nagayama

et al. 2008

JBSE

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“…The deformation of brain tissue caused by a given force depends upon the rate at which that force is applied [19]. A common approach is to model the tissue as a viscoelastic material whereby the elastic coefficients in the stress -strain relationship are time dependent: this approach is typically applicable for processes that occur rapidly such as car crashes or sports injuries [20,21].…”

Section: Mathematical Modelling Approachesmentioning

confidence: 99%

Is the Donnan effect sufficient to explain swelling in brain tissue slices?

Lang

Stewart

Vella

et al. 2014

J. R. Soc. Interface.

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Brain tissue swelling is a dangerous consequence of traumatic injury and is associated with raised intracranial pressure and restricted blood flow. We consider the mechanical effects that drive swelling of brain tissue slices in an ionic solution bath, motivated by recent experimental results that showed that the volume change of tissue slices depends on the ionic concentration of the bathing solution. This result was attributed to the presence of large charged molecules that induce ion concentration gradients to ensure electroneutrality (the Donnan effect), leading to osmotic pressures and water accumulation. We use a mathematical triphasic model for soft tissue to characterize the underlying processes that could lead to the volume changes observed experimentally. We suggest that swelling is caused by an osmotic pressure increase driven by both non-permeating solutes released by necrotic cells, in addition to the Donnan effect. Both effects are necessary to explain the dependence of the tissue slice volume on the ionic bath concentration that was observed experimentally.

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“…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. 41,42 In particular, an understanding of the brain's mechanical properties may allow for the selection of a biomaterial that is both safe to implant and effective in its desired therapeutic application.…”

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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Brain mechanics For neurosurgery: modeling issues

Cited by 102 publications

References 51 publications

Mechanical Characterization of Brain Tissue in High-Rate Extension

Mechanical Characterization of Brain Tissue in High-Rate Extension

Is the Donnan effect sufficient to explain swelling in brain tissue slices?

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

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