Effects of Brain Ventricular Shape on Periventricular Biomechanics: A Finite-element Analysis

Peña, Alonso; Bolton, M. D.; Whitehouse, Helen; Pickard, John D.

doi:10.1227/00006123-199907000-00026

Cited by 31 publications

(48 citation statements)

References 38 publications

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“…neurosurgical retraction, brain shift during surgery, hematomas, hydrocephalus etc.) are simulated by mostly poroelastic (Paulsen et al 1999;Miga et al 1998a;Miga et al 2000;Subramaniam et al 1995;Kaczmarek et al 1997;Pena et al 1999;Tenti et al 1999;Basser 1992), viscoelastic (Miller 1999), or nonlinear elastic (Sahay et al 1992) and even linearly elastic models (Ferrant et al 2000;Skrinjar et al 2001;Skrinjar and Duncan 1999). Paulsen's group (Paulsen et al 1999;Miga et al 1998a;Miga et al 2000) used a poroelastic model (linear material and strain) to evaluate intraoperative brain shift for image corrections during image guided surgery, and recover 80% of deformation under loads compared to clinical conditions.…”

Section: Modeling Issuesmentioning

confidence: 99%

“…Depending on the application, viscoelastic (Miller 1999;Mendis et al 1995;Wang and Wineman 1972), poroelastic (Paulsen et al 1999;Miga et al 1998a;Subramaniam et al 1995;Kaczmarek et al 1997;Pena et al 1999;Tenti et al 1999;Basser 1992) and even purely elastic (Kyriacou et al 1999;Kyriacou and Davatzikos 1998;Takizawa et al 1994;Ferrant et al 2000) models have been used in different analyses. The characteristic time scale is very important for choosing the material model.…”

Section: Introductionmentioning

confidence: 99%

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Brain mechanics For neurosurgery: modeling issues

Kyriacou

Mohamed

Miller

et al. 2002

Biomechanics and Modeling in Mechanobiology

100

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Brain biomechanics has been investigated for more than 30 years. In particular, finite element analyses and other powerful computational methods have long been used to provide quantitative results in the investigation of dynamic processes such as head trauma. Nevertheless, the potential of these methods to simulate and predict the outcome of quasi-static processes such as neurosurgical procedures and neuropathological processes has only recently been explored. Some inherent difficulties in modeling brain tissues, which have impeded progress, are discussed in this work. The behavior of viscoelastic and poroelastic constitutive models is compared in simple 1-D simulations using the ABAQUS finite element platform. In addition, the behaviors of quasi-static brain constitutive models that have recently been proposed are compared. We conclude that a compressible viscoelastic solid model may be the most appropriate for modeling neurosurgical procedures.

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Section: Modeling Issuesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Brain mechanics For neurosurgery: modeling issues

Kyriacou

Mohamed

Miller

et al. 2002

Biomechanics and Modeling in Mechanobiology

100

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show abstract

“…These studies focused on two-dimensional cross sections or partial aspects of the CSF space. 15,21,30,31,36 To date, there are no threedimensional fluid-structure interaction models of CSF motion inside the entire CNS. A physiological CSF model should account for the cranial CSF space as well as the spinal canal.…”

Section: Introductionmentioning

confidence: 99%

Cerebrospinal Fluid Flow Dynamics in the Central Nervous System

Sweetman

Linninger

2010

Ann Biomed Eng

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Cine-phase-contrast-MRI was used to measure the three-dimensional cerebrospinal fluid (CSF) flow field inside the central nervous system (CNS) of a healthy subject. Image reconstruction and grid generation tools were then used to develop a three-dimensional fluid-structure interaction model of the CSF flow inside the CNS. The CSF spaces were discretized using the finite-element method and the constitutive equations for fluid and solid motion solved in ADINA-FSI 8.6. Model predictions of CSF velocity magnitude and stroke volume were found to be in excellent agreement with the experimental data. CSF pressure gradients and amplitudes were computed in all regions of the CNS. The computed pressure gradients and amplitudes closely match values obtained clinically. The highest pressure amplitude of 77 Pa was predicted to occur in the lateral ventricles. The pressure gradient between the lateral ventricles and the lumbar region of the spinal canal did not exceed 132 Pa (~1 mmHg) at any time during the cardiac cycle. The pressure wave speed in the spinal canal was predicted and found to agree closely with values previously reported in the literature. Finally, the forward and backward motion of the CSF in the ventricles was visualized, revealing the complex mixing patterns in the CSF spaces. The mathematical model presented in this article is a prerequisite for developing a mechanistic understanding of the relationships among vasculature pulsations, CSF flow, and CSF pressure waves in the CNS.

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“…Effects of brain ventricular shape on periventricular biomechanics: a finite-element analysis [7] Presentation This article demonstrates a computer simulation designed to study the changes in the brain during acute obstructive hydrocephalus. The brain parenchyma has been modeled as a linear poro-elastic material, with two-phase materials considered as elastic porous matrix and interstitial fluid.…”

Section: Discussionmentioning

confidence: 99%

Application of finite element analysis in neurosurgery

Park

Dujovny

Park

et al. 2001

Child's Nervous System

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With the rapid development of computer equipment, approximation by analytical solutions has become popular in mathematical modeling. Finite element (FE) analysis uses numerical methods to solve problems with physical phenomena, and these can be applied to various geometrically complex materials, such as brain. The FE formulation can provide such diverse domains as heat conduction, torsion of elastic material, diffusion and fluid flow, and it can view different objects of study in the neurosurgical field. In this article, the various applications of FE methods are introduced to illustrate the usefulness of the technique and the link between the external biomechanical aspect and internal phenomena in brain research.

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Effects of Brain Ventricular Shape on Periventricular Biomechanics: A Finite-element Analysis

Cited by 31 publications

References 38 publications

Brain mechanics For neurosurgery: modeling issues

Brain mechanics For neurosurgery: modeling issues

Cerebrospinal Fluid Flow Dynamics in the Central Nervous System

Application of finite element analysis in neurosurgery

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