Download presentation
Presentation is loading. Please wait.
Published byEvan Silas Holt Modified over 9 years ago
1
Constructing Hexahedral Meshes of Abdominal Aortic Aneurysms for Use in Finite Element Analysis Rowena Ong Vanderbilt University Mentor: Kara Kruse Computational Sciences and Engineering Division August 11, 2004
2
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 2 Introduction: What are abdominal aortic aneurysms (AAAs)? Ballooning of aorta caused by weakened vessel walls If untreated, vessel walls may rupture AAAs 13 th leading cause of death in U.S. Mortality rate ~80% for ruptured AAAs
3
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 3 Introduction: What does AAA modeling involve? Using equations to model wall stress and/or fluid flow through AAA Three basic parts: 1.Equations modeling fluid flow and/or wall stress 2.3D reconstruction of AAA from CT scans 3.Finite element analysis to numerically solve equations Cassada, Barnes, & Lilly, 2003
4
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 4 Introduction: Challenges of AAA Modeling Current finite element models of AAAs do not include both iliac bifurcation and thrombus Iliac bifurcation and thrombus may play significant role in AAA formation Iliac bifurcation
5
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 5 Generation of high-quality finite element mesh difficult at bifurcation Why? Finite element modeling – divide object into finite elements (blocks or tetrahedra) Irregular geometry at bifurcation, difficult to generate regularly shaped elements Important because irregularly shaped elements can yield inaccurate results (Di Martino et al., 2001) Introduction: Challenges of AAA Modeling
6
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 6 Introduction Goal of this project: Develop a semi-automatic method for generating high- quality meshes of AAAs Including iliac bifurcation and thrombus To be used in finite element analysis Enable researchers to explore effects of the iliac bifurcation and thrombus on AAA formation
7
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 7 Methods Segment Thrombus Lumen 1. Segment CT scans and generate triangular surface meshes using Amira Obtain CT scans of AAA Generate surfaces Outer surface Inner surface
8
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 8 Methods 2. Antiga and Steinman’s method (2004) and program for blood vessel surface generation was extended for AAAs a. Find centerlines Compute Voronoi diagram, approximation of medial axis Compute solution to Eikonal equation ∇ T = 1 / R(x) over Voronoi diagram using fast marching algorithm Backtrace along path of steepest descent to find centerlines Antigua & Steinman, 2004 Antigua, Ene-Iordache, 2003
9
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 9 Methods b. Decompose bifurcation into 3 parts c. Build parametric mapping of the surface Longitudal mapping Solve Δ f = 0 (where Δ is LaPlace- Beltrami operator) Solve using finite element method Circumferential mapping Use angular position of points with respect to the centerline Implemented in Visualization Toolkit (VTK) using Visual C++.NET Antigua & Steinman, 2004
10
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 10 Methods 3. Build hexahedral mesh of thrombus and lumen using sweeping algorithm
11
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 11 Results From actual patient data CT scans segmented Outer and inner surfaces generated
12
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 12 Results: Voronoi diagrams Inner surface Outer surface
13
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 13 Results: Centerlines Inner surface Outer surface
14
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 14 Results: Splitting lines Inner surface Outer surface
15
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 15 Results: Parametric representation Inner surface Outer surface
16
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 16 Results: Parametric Representation Close-up of bifurcation
17
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 17 Accomplishments Extended Antiga and Steinman’s code to generate parameterized surfaces for AAAs Program generates surfaces semi- automatically and objectively Parameterized surfaces generated for real patient data
18
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 18 Future Work Eliminate triangular area between patches in bifurcation region Generate volumetric mesh from inner and outer surfaces Write script to export meshes to Rhino or finite element modeling software Build GUI for program
19
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 19 Long-term benefits Program will allow high-quality finite element meshes to be generated semi-automatically and objectively Will enable exploration of how iliac bifurcation and thrombus affect AAA formation through finite element modeling Give physicians another tool to help evaluate AAA rupture risk
20
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 20 Acknowledgements Research Mentor Kara Kruse, M.S.E. Thanks to the following for AAA data: David C. Cassada, M.D., Michael B. Freeman, M.D., Mitchell H. Goldman, M.D. UT Medical Center, Dept. of Vascular Surgery Stephanie Barnes, Jennifer Lilly This work was funded by Mathematical, Information, & Computational Sciences Division Office of Advanced Scientific Computing Research U.S. Department of Energy Through the Research Alliance for Math and Science (RAMS)
21
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 21 References Antiga, L. and D. Steinman. 2004. Robust and Objective Decomposition and Mapping of Bifurcating Vessels. IEEE Trans. on Medical Imaging, 23(6):704-713. Antiga, L., B. Ene-Iordache, A. Remuzzi. 2003. Centerline Computation and Geometric Analysis of Branching Tubular Surfaces with Application to Blood Vessel Modeling. 11th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2003. Antiga, L. 2003. Patient-Specific Modeling of Geometry and Blood Flow in Large Arteries. PhD Thesis. Angenent, S., S. Haker, A. Tannenbaum, & R. Kikinis. 1999. On the Laplace–Beltrami Operator and Brain Surface Flattening. IEEE Trans. on Medical Imaging, 18(8):700-711.
Similar presentations
© 2025 SlidePlayer.com Inc.
All rights reserved.