Fluid structure interaction (FSI) modeling of abdominal aortic aneurysm (AAA) growth rate
Date
2015-04-24Author
Jayakumar, Balakumar
Mehraein, Hootan
Advisor
Cluff, KimMetadata
Show full item recordCitation
Jayakumar, Balakumar. Fluid Structure Interaction (FSI) Modeling of Abdominal Aortic Aneurysm (AAA) Growth Rate. --In Proceedings: 11th Annual Symposium on Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University, p. 53
Abstract
An abdominal aortic aneurysm (AAA) occurs when there is a bulge formed in the large blood
vessels that supply blood to the abdomen, pelvis, and legs. Abdominal aortic aneurysms pose a
serious risk of rupture and can be life-threatening. Diagnosis of a life-threatening AAA is based
on measuring the diameter of the enlarged aorta. The diseased aortic wall is characterized by an
intraluminal thrombus (ILT), which is deposition of fatty acids, leads to narrowed aorta blood
vessel, and creates high pressure in the aneurysm sac. The objective of this study was to model
the growth of the aneurysm, by combining medical imaging and computational fluid dynamics
(CFD) in a time dependent study to determine wall stress, deformation, and fluid flow dynamics
over a certain period of time. This model may aid in clinical decision making to determine the
optimum time for surgical intervention by providing patient specific aneurysm growth-rate data
to avoid potential premature aneurysm rupture. A CT scan from an AAA patient was
reconstructed into a 3D CAD file, exported into multi-physics simulation software and simulated
as a fluid structure interaction model. Hypertensive blood-flow was simulated in the aorta wall,
modeled with degradation of aorta wall material properties over time using the Holzapfel Ogden
strain energy equation. The deformation in the wall over time was plotted using the time
dependent study to predict the growth for the enlarged diameter. The results indicate that vortex
formation, in the aneurysm sac, creates circulation zones and promotes fatty acids deposition on
the aorta wall for ILT formation. Combining the results of wall deformation along with wall
stress and blood velocity with respect to time, the model was able to estimate the growth of the
AAA and predict a time to rupture.
Description
Presented to the 11th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Heskett Center, Wichita State University, April 24, 2015.
Research completed at Department of Industrial and Manufacturing Engineering, College of Engineering & Department of Biomedical Engineering, College of Engineering