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Effects of Elevated Intracranial Pressure on a Cerebral Vein Model

Abstract

dc:description.abstract

Nonfatal strangulation (NFS) can cause severe physical and psychological injury. Instances of NFS are correlated with a heightened risk of lethal violence between partners [1]. While NFS does not result in death, it can result in severe hypoxic brain injury (HBI) and has been shown to increase the likelihood of an eventual fatality in the relationship eightfold [1]. Unfortunately, minimal quantitative biomechanical research has been performed to study strangulation injury, and detection and diagnosis of NFS, which often relies upon visible injuries, remains challenging [2]. The effects of occluded cerebral venous flow on intracranial pressure (ICP) have not been considered in a model for HBI as opposed to the context of stroke and neonatal hypoxic-ischemic encephalopathy. In this project, the effects of elevated ICP on the hemodynamics and structural dynamics of a diploic vein were considered. This was done by performing transient coupled fluid-structure simulations on a segment of an intracranial vein that sought to replicate the ICP surge experienced during strangulation. The vessel model was created by isolating a segment of an intracranial vessel. Using the software 3D Slicer, the skull was extracted and exported as an STL file. From there, a segment of a diploic vein was isolated and edited by importing the STL into Blender. The segment was then processed using MeshLab and Blender to make it a solid geometry and remove potential complications. Once the vessel segment was isolated and processed, it was exported as an STL file into a commercial solver from ANSYS, Inc., Canonsburg, PA, USA. Using a coupling system of the Ansys Fluent and Mechanical models, a transient Fluid-Solid Interaction (FSI) simulation was performed by coupling ANSYS' Fluent and Mechanical models. In the simulation, blood flowed steadily through the vessel, and the data for FSI was recorded. The software was used to simulate the deformation and stress of the blood vessels caused by the blood flow for elevated intracranial pressure events for five different durations and magnitudes. Following the FSI simulations, the total deformation, equivalent stress, dynamic pressure, static pressure, and fluid velocity were plotted. The results show that altering the pressure duration can increase average total vessel wall deformation by up to 356.35%, average equivalent stress by 331.11%, dynamic pressure by 19.28%, and decrease static pressure by 30.94%. Likewise, increasing the magnitude of pressure can also increase the dynamic pressure by 17.17 %, the maximum velocity by 16.77%, and can decrease the static pressure by 27.31%. The statistical behavior of each type of modification was unique, as altering the duration created a logarithmic plot while changing the magnitude of pressure created a second power plot. With the provided data, researchers will better understand the effects of NFS-like elevated intracranial pressure on cerebral vasculature.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Biomedical Engineering
Department dc:contributor.department
Department of Biomedical Engineering and Mechanics
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Davis, Nathaniel Tran
Chair dc:contributor.committeechair
  • Staples, Anne E.
Committee members dc:contributor.committeemember
  • Robertson, John L.
  • VandeVord, Pamela J.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:41379
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/121067

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Davis, Nathaniel Tran. Effects of Elevated Intracranial Pressure on a Cerebral Vein Model. masters thesis, Virginia Tech, 2024. https://hdl.handle.net/10919/121067