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Computational Hemodynamics in Cerebral Aneurysms: The Effects of Modeled Versus Measured Boundary Conditions

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Abstract

Modeling of flow in intracranial aneurysms (IAs) requires flow information at the model boundaries. In absence of patient-specific measurements, typical or modeled boundary conditions (BCs) are often used. This study investigates the effects of modeled versus patient-specific BCs on modeled hemodynamics within IAs. Computational fluid dynamics (CFD) models of five IAs were reconstructed from three-dimensional rotational angiography (3DRA). BCs were applied using in turn patient-specific phase-contrast-MR (pc-MR) measurements, a 1D-circulation model, and a physiologically coherent method based on local WSS at inlets. The Navier–Stokes equations were solved using the Ansys®-CFX™ software. Wall shear stress (WSS), oscillatory shear index (OSI), and other hemodynamic indices were computed. Differences in the values obtained with the three methods were analyzed using boxplot diagrams. Qualitative similarities were observed in the flow fields obtained with the three approaches. The quantitative comparison showed smaller discrepancies between pc-MR and 1D-model data, than those observed between pc-MR and WSS-scaled data. Discrepancies were reduced when indices were normalized to mean hemodynamic aneurysmal data. The strong similarities observed for the three BCs models suggest that vessel and aneurysm geometry have the strongest influence on aneurysmal hemodynamics. In absence of patient-specific BCs, a distributed circulation model may represent the best option when CFD is used for large cohort studies.

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Acknowledgments

The @neurIST project is funded by the European Commission, VI Framework Programme, Priority 2, Information Society Technologies (Oxfordshire Research Ethics Committee—A Study Number: 07/Q1604/53).

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Authors and Affiliations

  1. Department of Cardiovascular Science, Academic Unit of Medical Physics, Faculty of Medicine and Biomedical Sciences, University of Sheffield, Beech Hill Road, S10 2RX, Sheffield, UK

    Alberto Marzo, Patricia Lawford & D. Rod Hose

  2. Departments of Medical Physics and Neurosurgery, Royal Hallamshire Hospital, Sheffield, UK

    Pankaj Singh

  3. Centre for Computational Imaging and Simulation Technologies in Biomedicine, Universitat Pompeu Fabra (UPF), Barcelona, Spain

    Ignacio Larrabide & Alejandro Frangi

  4. Centre for Networked Biomedical Research on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain

    Ignacio Larrabide & Alejandro Frangi

  5. Institució Catalana de Recerca i Estudis Avaçats (ICREA), Barcelona, Spain

    Ignacio Larrabide & Alejandro Frangi

  6. Philips Healthcare, Best, The Netherlands

    Alessandro Radaelli

  7. Department of Neuroradiology, Royal Hallamshire Hospital, Sheffield, UK

    Stuart Coley

  8. Medical Physics and Clinical Engineering, Sheffield Teaching Hospitals NHS, Sheffield, UK

    Matt Gwilliam

  9. Department of Human Metabolism, Academic Unit of Radiology, University of Sheffield, Sheffield, UK

    Iain D. Wilkinson

  10. Laboratory of Hemodynamics and Cardiovascular Technology (LHCT), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Philippe Reymond

  11. Department of Neurosurgery, Royal Hallamshire Hospital, Sheffield, UK

    Umang Patel

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  1. Alberto Marzo
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  8. Patricia Lawford
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  9. Philippe Reymond
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Correspondence to Alberto Marzo.

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Associate Editor Peter E. McHugh oversaw the review of this article.

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Marzo, A., Singh, P., Larrabide, I. et al. Computational Hemodynamics in Cerebral Aneurysms: The Effects of Modeled Versus Measured Boundary Conditions. Ann Biomed Eng 39, 884–896 (2011). https://doi.org/10.1007/s10439-010-0187-z

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  • DOI: https://doi.org/10.1007/s10439-010-0187-z

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