The Development of a Detailed Finite Element Brain Model

Ward, Carley C.; Thompson, Robert B.

doi:10.4271/751163

Cited by 61 publications

(33 citation statements)

References 21 publications

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“…4. Meshing was an issue that arose in previous models [17,23,24,[46][47][48] but in the present model much emphasis was placed on mesh quality and ease of mesh creation, without sacrificing anatomical accuracy. For example, the ridge of the sphenoid wing, or the cusp of the skull upon which the temporal lobe sits, does not have an element face traversing it, which would necessitate a smoothing of this ridge (for element quality), but still avoids problems which have been associated with other models [46].…”

Section: Finite Element Model Of Human Headmentioning

confidence: 98%

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Modelling and Accident Reconstruction of Head Impact Injuries

Gilchrist

2003

KEM

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Section: Finite Element Model Of Human Headmentioning

confidence: 98%

“…Earlier finite element models of the brain adopted linear elastic material constitutive laws [47,48,50]. In recent studies, linear viscoelastic material laws combined with large-deformation theory were used to model brain tissues [17,51,52], except for the work of…”

Section: Constitutive Propertiesmentioning

confidence: 99%

Modelling and Accident Reconstruction of Head Impact Injuries

Gilchrist

2003

KEM

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“…The finite element method has occasionally been utilized to model the brain [9][10][11][12]. Three-dimensional models may enable reliable prediction of nonrigid displacements and deformations in surgery, and coupled with readily available and relatively inexpensive intraoperative imaging devices, may provide sufficient updating of surgical field anatomy to allow image-guided systems to function satisfactorily.…”

Section: Discussionmentioning

confidence: 99%

Updated Neuroimaging Using Intraoperative Brain Modeling and Sparse Data

Miga¹,

Roberts²,

Hartov³

et al. 1999

Stereotact Funct Neurosurg

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A strategy to update preoperative imaging for image-guided surgery using readily available intraoperative information has been developed and implemented. A patient-specific three-dimensional finite element model of the brain is generated from preoperative MRI and used to simulate deformation resulting from multiple surgical processes. Intraoperatively obtained sparse imaging data, such as from digital cameras or ultrasonography, is then used to prescribe the displacement of selected points within the model. Interpolation to the resolution of preoperative imaging may then be performed based upon the model. The algorithms for generation of the finite element model and for its subsequent deformation have been successfully validated using a pig brain model, and preliminary clinical application in the operating room has demonstrated feasibility.

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“…Ward and Thompson [9] suggested that the relative motion between the brain and skull could explain many types of brain injury such as intracerebral haematomas, which are principally due to rupture of bridging veins. Since the skull and brain are of different densities and the cerebrospinal fluid (CSF) surrounds the brain, the brain can move relative to the skull during a blunt impact event causing contusions, intracerebral bruises and contrecoup lesions [10].…”

Section: Introductionmentioning

confidence: 99%

Influence of FE model variability in predicting brain motion and intracranial pressure changes in head impact simulations

Horgan¹,

Gilchrist

2004

International Journal of Crashworthiness

186

135

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In order to create a useful computational tool that will aid in the understanding and perhaps prevention of head injury, it is important to know the quantitative influence of the constitutive properties, geometry and finite element formulations of the intracranial contents upon the mechanics of a head impact event. The University College Dublin Brain Trauma Model (UCDBTM) [1] has been refined and validated against a series of cadaver tests and the influence of different finite element formulations has been investigated. In total six different model configurations were constructed: (i) the baseline model, (ii) a refined baseline model which explicitly differentiates between grey and white neural tissue, (iii) a model with three elements through the thickness of the cerebrospinal fluid (CSF) layer, (iv) a model simulating a sliding boundary, (v) a projection mesh model (which also distinguishes between neural tissue) and (vi) a morphed model. These models have been compared against a cadaver test of Trosseille [2] and of Hardy [3]. The results indicate that, despite the fundamental differences between these six model formulations, the comparisons with the experimentally measured pressures and relative displacements were largely consistent and in good agreement. These results may prove useful for those attempting to model real life accident scenarios, especially when the time to construct a patient specific model using traditional mesh generation approaches is taken into account.

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The Development of a Detailed Finite Element Brain Model

Cited by 61 publications

References 21 publications

Modelling and Accident Reconstruction of Head Impact Injuries

Modelling and Accident Reconstruction of Head Impact Injuries

Updated Neuroimaging Using Intraoperative Brain Modeling and Sparse Data

Influence of FE model variability in predicting brain motion and intracranial pressure changes in head impact simulations

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