Using Parameterization and Springs to Determine Aneurysm Wall Thickness

Aneurysms are an enlargement of a blood vessel due to a weakened wall and can pose significant health risks. Abdominal aortic aneurysms alone are the 13th leading cause of death in the United States, with 15,000 deaths annually. While there are recommended guidelines for doctors to follow in the treatment of specific aneurysms, they cannot guarantee a satisfactory outcome. Computer simulations of an aneurysm may be able to help doctors in their treatment; however, the results are inaccurate if the vessel wall thickness is poorly measured. In order to provide more accurate, patient-specific simulations, not only does geometry for the fluid domain need to be created from medical images for analysis, but the creation of more accurate models for the wall needs to be accomplished as well. This paper proposes a solution to the latter by deforming the mesh from a healthy vessel into one with an aneurysm through parameterization and the use of a spring model. The thickness of the resulting wall model is empirically valid and fluid-structure interaction simulations show significant improvements when using a variable versus a uniform wall thickness.

[1]  A J Thrush,et al.  Measurement of resolution in intravascular ultrasound images , 1996, Physiological measurement.

[2]  Yang Wang,et al.  Ricci Flow for 3D Shape Analysis , 2007, ICCV.

[3]  Toshio Kobayashi,et al.  Fluid-structure interaction modeling of blood flow and cerebral aneurysm: Significance of artery and aneurysm shapes , 2009 .

[4]  W. T. Tutte How to Draw a Graph , 1963 .

[5]  Yuri Bazilevs,et al.  High-Fidelity Tetrahedral Mesh Generation from Medical Imaging Data for Fluid-Structure Interaction Analysis of Cerebral Aneurysms , 2009 .

[6]  C. M. Scotti,et al.  Wall stress and flow dynamics in abdominal aortic aneurysms: finite element analysis vs. fluid–structure interaction , 2008, Computer methods in biomechanics and biomedical engineering.

[7]  Tony DeRose,et al.  Multiresolution analysis of arbitrary meshes , 1995, SIGGRAPH.

[8]  Wei Zeng,et al.  Ricci Flow for 3D Shape Analysis , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[9]  Ming-Chen Hsu,et al.  Computational vascular fluid–structure interaction: methodology and application to cerebral aneurysms , 2010, Biomechanics and modeling in mechanobiology.

[10]  Michael S. Floater,et al.  Parametrization and smooth approximation of surface triangulations , 1997, Comput. Aided Geom. Des..

[11]  Aiguo Song,et al.  Simulation of a mass-spring model for global deformation , 2009 .

[12]  J M T Penrose,et al.  Fluid-solid interaction: benchmarking of an external coupling of ANSYS with CFX for cardiovascular applications , 2003, Journal of medical engineering & technology.

[13]  Bülent Özgüç,et al.  A spring force formulation for elastically deformable models , 1997, Comput. Graph..

[14]  Alexander D. Shkolnik,et al.  Fluid-structure interaction in abdominal aortic aneurysms: effects of asymmetry and wall thickness , 2005, Biomedical engineering online.

[15]  John C. Platt,et al.  Elastically deformable models , 1987, SIGGRAPH.

[16]  G. Moneta,et al.  Screening for Abdominal Aortic Aneurysm: A Best-Evidence Systematic Review for the U.S. Preventive Services Task Force , 2006 .

[17]  Madhavan L Raghavan,et al.  Regional distribution of wall thickness and failure properties of human abdominal aortic aneurysm. , 2006, Journal of biomechanics.

[18]  Mark S. Shephard,et al.  Boundary layer mesh generation for viscous flow simulations , 2000 .

[19]  Yuri Bazilevs,et al.  Determination of Wall Tension in Cerebral Artery Aneurysms by Numerical Simulation , 2008, Stroke.

[20]  Thomas J. R. Hughes,et al.  Patient-Specific Vascular NURBS Modeling for Isogeometric Analysis of Blood Flow , 2007, IMR.

[21]  Yannis Kallinderis,et al.  Hybrid grid generation for turbomachinery and aerospace applications , 2000 .

[22]  Kenji Shimada,et al.  Finite Element Mesh Sizing for Surfaces Using Skeleton , 2004, IMR.

[23]  Charles A. Taylor,et al.  A coupled momentum method for modeling blood flow in three-dimensional deformable arteries , 2006 .

[24]  Charles A. Taylor,et al.  Efficient anisotropic adaptive discretization of the cardiovascular system , 2006 .

[25]  Ender A Finol,et al.  Blood flow dynamics in saccular aneurysm models of the basilar artery. , 2006, Journal of biomechanical engineering.

[26]  R. Ohayon,et al.  Fluid-Structure Interaction: Applied Numerical Methods , 1995 .

[27]  Martin Kroon,et al.  Modeling of saccular aneurysm growth in a human middle cerebral artery. , 2008, Journal of biomechanical engineering.

[28]  R. Ketcham,et al.  Acquisition, optimization and interpretation of X-ray computed tomographic imagery: applications to the geosciences , 2001 .

[29]  Kenneth E. Barner,et al.  A Displacement Driven Real-Time Deformable Model For Haptic Surgery Simulation , 2006 .

[30]  L. Freitag,et al.  Local optimization-based simplicial mesh untangling and improvement. , 2000 .

[31]  Shing-Tung Yau,et al.  Slit Map: Conformal Parameterization for Multiply Connected Surfaces , 2008, GMP.

[32]  Bert Jüttler,et al.  Advances in Geometric Modeling and Processing , 2008 .

[33]  Leo K. Cheng,et al.  A model of blood flow in the mesenteric arterial system , 2007, Biomedical engineering online.