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Patient-Specific Computational Modelling Of Embolic Stroke

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thesis
posted on 13.11.2018, 12:43 by David A. Marshall
Embolic stroke occurs when arterial debris or thrombus detaches from the insides of the diseased arteries and moves through the bloodstream to block arteries supplying the brain. Stroke is a major clinical problem but few researchers have attempted to model embolus transport. Existing methods available for modelling stroke have numerous strengths and limitations. This aim of this thesis is to investigate approaches to modelling the transport of emboli through the cerebral vasculature with a view to performing patient-specific simulations toward a better understanding of the pathophysiology of stroke. This thesis is divided into three sections. In section one I investigate flow models of the cerebral circulation, reviewing anatomy and computational blood flow modelling, before creating a 0D model of the circle of Willis, produce a flow phantom of the cerebral vasculature, segment and analyse patient MR angiograms, and apply the 0D model to patient anatomy. In section two I discuss and review computational modelling of embolus transport, adapt a fractal embolus trajectory model and an embolus sizing algorithm to patient-specific data using measurements from MR angiograms, then discuss the results of patient measurements and the embolus trajectory simulations. In section three I discuss applying a fluid dynamics method called smoothed-particle hydrodynamics (SPH) to modelling emboli in the blood, I review SPH models of blood flow, present feasibility studies for applying SPH to emboli, and finally create an in-house code for simulating emboli, which is applied to embolus migration in a tube.

History

Supervisor(s)

Chung, Emma; Dehnen, Walter

Date of award

26/10/2018

Author affiliation

Department of Cardiovascular Sciences

Awarding institution

University of Leicester

Qualification level

Doctoral

Qualification name

PhD

Language

en

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