University of Twente Student Theses


Computational Analysis of Fluid Dynamics in Intracranial Aneurysms

Alblas, Dieuwertje (2021) Computational Analysis of Fluid Dynamics in Intracranial Aneurysms.

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Abstract:Successful treatment of so-called bifurcation aneurysms is a persisting challenge. Due to the complex geometries of such aneurysms, blood flow follows intricate paths inside the aneurysm sac, which need to be rectified for a successful treatment. In this study, we present a method that involves computational fluid dynamics, resulting in a multi-layered assessment, aiming to assist the neurosurgeon in finding suitable treatment options for a particular patient. We cover two central aspects: (1) how to obtain realistic, patient specific flow prediction and (2) how to translate the comprehensive information contained in the simulation results to a concise and clinically relevant form, incorporating the main characteristics of the flow. Realistic flow simulations through aneurysm geometries rely on patient-specific medical image data and require numerical approximations. The resulting velocity fields under physiological conditions, acquired using OpenFOAM software, showed clear spatial convergence using on the order of 20-40 grid cells per diameter of the inflow vessel. To enhance the information contained in the flow fields, we propose a new assessment method in which we determine the dispersion of a numerical bolus during the pulsatile flow. Effects of potential treatment, as well as changes in the geometry configuration were captured and quantified by this method, giving confidence that this method is a first step towards numerical decision support for optimal treatment of intracranial aneurysms.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:31 mathematics, 44 medicine
Programme:Applied Mathematics MSc (60348)
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