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A Fluid-Structure Interaction Index of Coronary Plaque Rupture

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Biomedical Simulation (ISBMS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5958))

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Abstract

The impact of coupled blood flow and structural dynamics on coronary plaque is investigated with the objective of defining a unique index for characterizing plaque rupture. Two-dimensional non-circular lumen models of native, moderate and severely stenosed human coronary arteries are investigated. The flow and structural analyses are performed simultaneously using well-validated commercial software. New flow–structure interaction (FSI) indices are defined by normalizing the predicted hemodynamic shear stress with the structural stresses. The results predict that the plaques investigated are potentially vulnerable to rupture at 40-45% stenosis levels. The predicted trend is consistent with clinical observations, indicating that the selected FSI index has the potential to characterize plaque rupture when properly established.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL, 32816-2450, USA

    Olusegun Ilegbusi & Eric Valaski-Tuema

Authors
  1. Olusegun Ilegbusi
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  2. Eric Valaski-Tuema
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Editor information

Editors and Affiliations

  1. Department of Biosurgery and Surgical Technology, Imperial College London, St. Mary´s Hospital Campus, W2 1NY, London, United Kingdom

    Fernando Bello

  2. IRCICA, INRIA Project-team Alcove, 50 avenue Halley, 59650, D’ASCQ, VILLENEUVE, France

    Stéphane Cotin

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Ilegbusi, O., Valaski-Tuema, E. (2010). A Fluid-Structure Interaction Index of Coronary Plaque Rupture. In: Bello, F., Cotin, S. (eds) Biomedical Simulation. ISBMS 2010. Lecture Notes in Computer Science, vol 5958. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11615-5_11

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  • DOI: https://doi.org/10.1007/978-3-642-11615-5_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11614-8

  • Online ISBN: 978-3-642-11615-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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