Abstract
Abdominal aortic aneurysm (AAA) rupture is believed to occur when the mechanical stress acting on the wall exceeds the strength of the wall tissue. In endovascular aneurysm repair, a stent-graft in a catheter is released at the aneurysm site to form a new blood vessel and protect the weakened AAA wall from the pulsatile pressure and, hence, possible rupture. In this paper, we propose a framework to estimate the wall stress distribution of non-stented/stented AAA based on fluid-structure interaction, which is utilized in a surgical simulation system (IRAS). The 3D geometric model of AAA is reconstructed from computed tomography angiographic (CTA) images. Based on our experiments, a combined logarithm and polynomial strain energy equation is applied to model the elastic properties of arterial wall. The blood flow is modeled as laminar, incompressible, and non-Newtonian flow by applying Navier-Stokes equation. The obtained pressure of blood flow is applied as load on the AAA meshes with and without stent-graft and the wall stress distribution is calculated by fluid-structure interaction (FSI) solver equipped in ANSYS. Experiments demonstrate that our analytical results are consistent with clinical observations.
| Original language | English |
|---|---|
| Title of host publication | 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 |
| Pages | 900-903 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 26 Dec 2011 |
| Externally published | Yes |
| Event | 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States Duration: 30 Aug 2011 → 3 Sept 2011 |
Conference
| Conference | 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 |
|---|---|
| Country/Territory | United States |
| City | Boston, MA |
| Period | 30/08/11 → 3/09/11 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics
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