Bachelorarbeit, 2015
65 Seiten, Note: 69%
1 INTRODUCTION
1.1 Clinical Background/ Theory
1.2 Motivation
1.3 Hemodynamic variables
1.4 Computational Fluid Dynamics (CFD)
2 THESIS
2.1 Literature Review
2.2 Preliminary Work
2.2.1 Steady state analysis and Laminar flow
2.2.2 Geometry
2.2.3 Properties of Blood
2.2.4 Parabolic velocity profile
2.2.5 Rigid walls assumption
2.2.6 Mesh structure
2.2.7 Boundary conditions
2.3 Porosity model
2.4 Methodology
3 RESULTS
3.1 Unstented
3.1.1 Pressure
3.1.2 Wall Shear Stress
3.2 Stented
3.2.1 WSS Average 1
3.2.2 WSS Average 2
3.2.3 Pressure Inlet
3.2.4 Average Pressure 1
3.2.5 Average Pressure 2
3.3 Stented vs Unstented
3.3.1 Stent Small Artery (A2) vs Unstented
3.3.2 Stent Big Artery (A1) vs Unstented
4 Validation
4.1 Mesh independency
4.2 Wall Shear Stress
5 DISCUSSION
6 CONCLUSION
The primary aim of this project is to investigate the effects of flow-diverting stents on intracranial artery bifurcations, specifically analyzing how the relative diameter of bifurcating vessels impacts hemodynamics and the potential risk of vessel occlusion. The research utilizes Computational Fluid Dynamics (CFD) to model these complex interactions and determine key variables that may assist clinicians in improving treatment outcomes and preventing ischemic complications.
1.1 Clinical Background/ Theory
An intracranial aneurysm (brain aneurysm) can be defined as the weakening of the walls of an artery that causes a localised dilation or ballooning of the blood vessel (1). If an aneurysm ruptures it causes blood to leak into the spaces around the brain that can lead to various ischemic complications such as nausea, vomiting and loss of consciousness (1) . In more severe cases it can lead to death of the patient almost immediately after rupture. Hence treatment without ischemic complications is vital.
Intracranial aneurysms are commonly found around the Circle of Willis, a circulatory connection of arteries in the brain. Almost a third of the aneurysms are present around MCA bifurcations (2). Aneurysms of such topography pose most difficulties to endovascular surgeons. They often demand retreatment and present complications during and after surgery.
Flow diverting stents (FDS) offer a valid alternative in treatment of intracranial aneurysms at bifurcations, when other endovascular procedures such as coiling are not possible (3). FDS operate in a way where they divert blood flow away from the aneurysm sac which reduces growth of the aneurysm (4).
Side branch (SB) occlusion after placement of stent is a serious difficulty. The ischemic complications could lead to detrimental outcomes such as cardiac death. This effect does not seem to be dependent on the FDS model. Hence, it is hypothesized that other factors such as hemodynamics and its influence on clinically relevant effects such as alterations of pressure and wall shear stress (WSS) could be the reason for vessel occlusion. Understanding the mutual significance of all variables at play could help in treatment without ischemic complications. However, no large-scale study has investigated this issue.
1 INTRODUCTION: This chapter introduces the clinical relevance of intracranial aneurysms and the motivation for using Computational Fluid Dynamics to study hemodynamic effects of flow-diverting stents.
2 THESIS: This section details the methodology, including literature review, geometric modeling, blood properties, and the implementation of the porosity model to simulate stents.
3 RESULTS: This chapter presents the data obtained from simulations, comparing pressure and Wall Shear Stress distributions in unstented and stented models across various diameter ratios.
4 Validation: This section confirms the accuracy of the CFD simulations by performing a mesh independency study and comparing the results against theoretical Poiseuille flow calculations.
5 DISCUSSION: This chapter interprets the findings, linking hemodynamic alterations—specifically pressure gradients and shear stress—to the risk of arterial occlusion.
6 CONCLUSION: This chapter summarizes the project's achievements, noting that stent placement significantly alters hemodynamics and highlighting the need for further patient-specific research.
Intracranial aneurysm, Flow diverting stents, Hemodynamics, Computational Fluid Dynamics, Wall Shear Stress, Vessel occlusion, Bifurcation, Arterial geometry, Murray’s law, Pressure gradient, Endothelial cells, Porosity model, Windkessel model, Ischemic complications, CFD simulation.
The research examines the hemodynamic impact of placing flow-diverting stents on intracranial artery bifurcations and how vessel diameter ratios influence the risk of arterial occlusion.
The study integrates biomechanics, fluid dynamics, and clinical neurology to understand the vascular behavior and treatment risks associated with brain aneurysms.
The project asks how the placement of flow-diverting stents and the relative diameters of bifurcating vessels alter pressure and shear stress, and whether these changes contribute to vessel occlusion.
The researcher uses Computational Fluid Dynamics (CFD), specifically ANSYS-CFX 15.0, to model fluid behavior, using a porous medium to represent the stent structure.
The main body covers the theoretical background, the setup of idealized arterial geometries, mesh generation, boundary conditions, and a comparative result analysis between stented and unstented models.
Key terms include Hemodynamics, Intracranial Aneurysms, Flow Diverting Stents, CFD, Wall Shear Stress, and Bifurcation mechanics.
The Windkessel model is used to simulate the peripheral resistance of the arterial system at the outlets, allowing for a realistic distribution of flow and pressure across the bifurcating vessels.
Endothelial cells are highly sensitive to Wall Shear Stress (WSS); the study speculates that altered WSS after stenting can trigger destructive remodeling, which may lead to vessel occlusion.
Murray's law provides the theoretical basis for selecting the range of bifurcating artery diameters used in the simulations to ensure the modeled geometries are physiologically relevant.
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