On the influence of patient-specific material properties in computational simulations: A case study of a large ruptured abdominal aortic aneurysm

Authors

  • Barry J. Doyle,

    Corresponding author
    1. Medical Physics, The University of Edinburgh, UK
    2. Centre for Cardiovascular Science, The University of Edinburgh, UK
    • Centre for Applied Biomedical Engineering Research (CABER), Department of Mechanical, Aeronautical and Biomedical Engineering, and Materials and Surface Science Institute, University of Limerick, Ireland
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  • Anthony Callanan,

    1. Centre for Applied Biomedical Engineering Research (CABER), Department of Mechanical, Aeronautical and Biomedical Engineering, and Materials and Surface Science Institute, University of Limerick, Ireland
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  • Pierce A. Grace,

    1. Department of Vascular Surgery, HSE Midwestern Regional Hospital, Limerick, Ireland
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  • Eamon G. Kavanagh

    1. Department of Vascular Surgery, HSE Midwestern Regional Hospital, Limerick, Ireland
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Correspondence to: Barry Doyle, MSG-013-022, MSSI Building, University of Limerick, Limerick, Ireland.

E-mail: Barry.Doyle@ul.ie

SUMMARY

Patient-specific modelling of abdominal aortic aneurysm has been shown to have clinical potential. This paper examines a large ruptured abdominal aortic aneurysm where the tissue from the diseased wall and the intraluminal thrombus was excised during open surgical repair and experimentally characterised. The mechanical data were used to develop material parameters that were incorporated into finite element models with measured nonuniform wall thickness. Implementation of the material data into the numerical model increased peak wall stress by 67%, wall strain by 320% and displacement by 177%, when compared with simulations based on material properties available in the literature. Distributions of numerical results were similar for both material data. Magnitudes of numerical results can differ significantly when using patient-specific material properties and therefore, care should be taken when interpreting numerical results derived from population-based data.Copyright © 2012 John Wiley & Sons, Ltd.

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