Synchrotron microtomography of coiled aneurysm phantoms: improving accuracy of porous medium models for coil embolization of intracranial aneurysms

ORAL

Abstract

Cerebral aneurysms are often embolized with coils to reduce blood flow into the aneurysmal sac, promoting the development of a thrombus to reduce the risk of rupture. Computational analysis of the hemodynamics inside the aneurysm, before and after treatment, is a useful tool to better understand the effect of endovascular treatment on thrombus formation. The current standard is to model the coil mass as an isotropic homogeneous porous medium. This study proposes a new anisotropic porous model created by homogenization of the exact coil geometry obtained from Synchrotron X-ray Microtomography. Silicon phantoms built from patient-specific aneurysms were treated with embolic coils and microtomography of these models was performed at ESRF (Grenoble, France). The coil geometries were integrated with the vessel lumen reconstruction for CFD analysis. The results of standard homogeneous isotropic and novel heterogeneous anisotropic models are compared to the flow simulations around the actual coil geometries. The homogenization-based coil model was found to be more accurate (closer to the coil-resolved simulations) for the prediction of flow in the aneurysmal sac (+70% improvement in RSME compared to isotropic porous media) and wall shear stress at the neck of the aneurysm (+64%).

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Presenters

  • Michael C. Barbour

    Department of Mechanical Engineering, University of Washington, Seattle, WA, USA

Authors

  • Michael C. Barbour

    Department of Mechanical Engineering, University of Washington, Seattle, WA, USA

  • Fanette Chassagne

    Department of Mechanical Engineering, University of Washington, Department of Mechanical Engineering, University of Washington, Seattle, WA, USA, University of Washington, Department of Mechanical Engineering

  • Laurel Morgan Miller Marsh

    Department of Mechanical Engineering, University of Washington, Seattle, WA, USA

  • Venkat Keshav Chivukula

    Department of Mechanical Engineering, University of Washington, Department of Mechanical Engineering, University of Washington, Seattle, WA, USA, University of Washington, Department of Mechanical Engineering, University of Washington

  • Christian Geindreau

    Laboratoire 3SR, Université Grenoble Alpes, Grenoble, France

  • Sabine Rolland du Roscoat

    Laboratoire 3SR, Université Grenoble Alpes, Grenoble, France

  • Cory M. Kelly

    Department of Neurological Surgery, University of Washington, Seattle, WA, USA

  • Samuel H. Levy

    Department of Neurological Surgery, University of Washington, Seattle, WA, USA

  • Michael R Levitt

    Department of Neurological Surgery, University of Washington, Seattle, WA, USA, Department of Mechanical Engineering, University of Washington, Seattle, WA, USA, Department of Neurological Surgery, University of Washington, Seattle, WA, USA

  • Louis J. Kim

    Department of Neurological Surgery, University of Washington, Department of Neurological Surgery, University of Washington, Seattle, WA, USA, Department of Neurological Surgery, University of Washington, Seattle, WA, USA, Department of Radiology, University of Washington, Seattle, WA, USA

  • Alberto Osuna Aliseda

    University of Washington, Department of Mechanical Engineering, University of Washington, Department of Mechanical Engineering, University of Washington, Seattle, WA, USA, Department of Neurological Surgery, University of Washington, Seattle, WA, USA, Mechanical Engineering Department, University of Washington, Department of Mechanical Engineering, University of Washington, Seattle, WA, USA, Mechanical Engineering, University of Washington, Seattle, USA