Durka, Michael/MJD
(2014)
A Computational Parametric Study of the Relationship between the Characteristic Geometry, Flow Structure, and Hemodynamics of Intracranial Bifurcation Aneurysms.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
This work utilized computational numerical models in parametric studies to develop a relationship between the characteristic geometry of intracranial bifurcation aneurysms and the intra-aneurysmal blood flow structures. In general, intra-aneurysmal flow structures can be categorized by two flow types: Type I (one vortex) and Type II (two vortices). Flow structure can profoundly influence the intra-aneurysmal hemodynamic stresses, which are generally accepted as a major factor responsible for either the stabilization or the eventual rupture of intracranial aneurysms. However, there are currently no known reliable methods that can determine whether an aneurysm is prone to rupture. Current technology limits clinicians to the use of geometric data obtained via angiography as the only means of assessing rupture risk. Therefore, a method of obtaining a description of the intra-aneurysmal hemodynamics from aneurysmal geometry is a potentially valuable tool. Many studies conducted on this subject have the weaknesses of either assuming that one geometric parameter is sufficient to predict and describe intra-aneurysmal hemodynamics, or neglecting the combined effects of multiple parameters in studies involving more than one geometric parameter. Many of these studies are purely statistical and incorporate no mechanistic explanations or hypotheses for rupture. The work of this thesis considers the combine effects of multiple geometric parameters in a systematic manner which relates geometric parameters to flow structure, and flow structure to hemodynamic stress. By using this approach, an extensive systematic guide to intra-aneurysmal flow structure and hemodynamics has been developed which can readily offer clinicians a general description of intra-aneurysmal hemodynamic conditions in a clinical setting. Furthermore, the theory in this work can not only predict the existence of unfavorable hemodynamics, but can also identify the geometric feature(s) in particular that is (are) responsible for unfavorable hemodynamics. To provide evidence which can substantiate these notions, the predictive ability of the theory developed form the parametric study was tested by evaluating its ability to predict the flow structures in 27 clinical aneurysms. An evaluation of the theory’s performance concludes this work.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
| Creators | Email | Pitt Username | ORCID  |
|---|
| Durka, Michael/MJD | mjd4@pitt.edu | MJD4 | |
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| ETD Committee: |
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| Date: |
16 June 2014 |
| Date Type: |
Publication |
| Defense Date: |
13 September 2013 |
| Approval Date: |
16 June 2014 |
| Submission Date: |
2 December 2013 |
| Access Restriction: |
5 year -- Restrict access to University of Pittsburgh for a period of 5 years. |
| Number of Pages: |
87 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Swanson School of Engineering > Mechanical Engineering |
| Degree: |
MSME - Master of Science in Mechanical Engineering |
| Thesis Type: |
Master's Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
CFD
Parametric Study
Aneurysm |
| Date Deposited: |
16 Jun 2014 20:12 |
| Last Modified: |
16 Jun 2019 05:15 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/20153 |
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