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Computational Modeling of Vascular Hemodynamics

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Computational Modeling in Biomechanics

Abstract

In addition to biochemical factors, hemodynamic factors that are governed by lumenal geometry and blood flow rates likely play an important role in the pathogenesis of cardiovascular disease. Numerous computational and experimental studies indicated correlation of certain hemodynamic parameters with initiation and progression of atherosclerotic plaques, while flow variables possibly affecting aneurysmal disease are still disputed. This chapter presents a review of publications on current state of the art for the Computational Fluid Dynamics (CFD) methods used in patient-specific flow modeling. Typical modeling assumptions and boundary conditions are described and discussed as well as some of the post-processing and visualization techniques. It is hoped that with the current advances in medical imaging and numerical methods, computational modeling will evolve into a clinical tool providing guidance for cardiovascular disease treatment on a patient-by-patient basis.

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  1. Radiology, University of California San Francisco, 4150 Clement Street, San Francisco, CA, 94121, US

    Vitaliy L. Rayz & Stanley A. Berger

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  1. Vitaliy L. Rayz
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  2. Stanley A. Berger
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Correspondence to Vitaliy L. Rayz .

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  1. Dept. Mechanical, Aerospace &, Rensselaer Polytechnic Institute, 8th Street 110, Troy, 12180-3590, U.S.A.

    Suvranu De

  2. Div. Orthopaedic Surgery, Duke University Medical Center, Durham, 27710, U.S.A.

    Farshid Guilak

  3. Dept. Bioengineering, University of California, Berkeley, Evans Hall 479, Berkeley, 94720-1762, U.S.A.

    Mohammad Mofrad R. K.

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Rayz, V.L., Berger, S.A. (2010). Computational Modeling of Vascular Hemodynamics. In: De, S., Guilak, F., Mofrad R. K., M. (eds) Computational Modeling in Biomechanics. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3575-2_5

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