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Fluid–Structure Interaction Modeling of Patient-Specific Cerebral Aneurysms

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Visualization and Simulation of Complex Flows in Biomedical Engineering

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 12))

Abstract

We provide an overview of the special techniques developed earlier by the Team for Advanced Flow Simulation and Modeling (T★AFSM) for fluid–structure interaction (FSI) modeling of patient-specific cerebral aneurysms. The core FSI techniques are the Deforming-Spatial-Domain/Stabilized Space–Time formulation and the stabilized space–time FSI technique. The special techniques include techniques for calculating an estimated zero-pressure arterial geometry, a special mapping technique for specifying the velocity profile at an inflow boundary with non-circular shape, techniques for using variable arterial wall thickness, mesh generation techniques for building layers of refined fluid mechanics mesh near the arterial walls, a recipe for pre-FSI computations that improve the convergence of the FSI computations, techniques for calculation of the wall shear stress and oscillatory shear index, and arterial-surface extraction and boundary condition techniques. We show, with results from earlier computations, how these techniques work. We also describe the arterial FSI techniques developed and implemented recently by the T★AFSM and present a sample from a wide set of patient-specific cerebral-aneurysm models we computed recently.

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Notes

  1. 1.

    In some cases where the outflow diameters significantly differ, the solution obtained from the Laplace’s equation for shrinking amount and wall thickness for the aneurysm/bifurcation area could have an undesirable distribution. The need for specifying values at a set of inter-patch points comes from seeking a better distribution in that area.

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Acknowledgments

This work was supported in part by a seed grant from the Gulf Coast Center for Computational Cancer Research funded by John & Ann Doerr Fund for Computational Biomedicine. It was also supported in part by the Rice Computational Research Cluster funded by NSF Grant CNS-0821727. The 3DRA research at the Memorial Hermann Hospital University of Texas Medical School at Houston was supported by generous a funding from the Weatherhead Foundation. We thank Dr. Ryo Torii (University College London) for the inflow velocity data used in the computations and the arterial geometry used in Sect. 6.1.

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Authors and Affiliations

  1. Department of Modern Mechanical Engineering and Waseda Institute for Advanced Study, Waseda University, 1-6-1 Nishi-Waseda, Shinjuku-ku, Tokyo, 169-8050, Japan

    Kenji Takizawa

  2. Mechanical Engineering, Rice University, 6100 Main Street, Houston, TX, 77005, USA

    Tayfun E. Tezduyar

Authors
  1. Kenji Takizawa
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  2. Tayfun E. Tezduyar
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Correspondence to Kenji Takizawa .

Editor information

Editors and Affiliations

  1. CEFT, Faculdade de Engenharia da Universidade do Porto (FEUP), ESTiG, Polytechnic Institute of Bragança, Bragança, Porto, Portugal

    Rui Lima

  2. Department of Biomedical Engineering and Robotics Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan

    Yohsuke Imai

  3. Department of Bioengineering and Robotics, Graduate School of Engineering, Tohoku University, Sendai, Japan

    Takuji Ishikawa

  4. Department of Mechanical and Aerospace Engineering, University of Strathclyde, James Weir Fluids Lab, Glasgow, United Kingdom

    Mónica S. N. Oliveira

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Takizawa, K., Tezduyar, T.E. (2014). Fluid–Structure Interaction Modeling of Patient-Specific Cerebral Aneurysms. In: Lima, R., Imai, Y., Ishikawa, T., Oliveira, M. (eds) Visualization and Simulation of Complex Flows in Biomedical Engineering. Lecture Notes in Computational Vision and Biomechanics, vol 12. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7769-9_2

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  • DOI: https://doi.org/10.1007/978-94-007-7769-9_2

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