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The Effects of Geometric Variation from OCT-Derived 3D Reconstructions on Wall Shear Stress in a Patient-Specific Coronary Artery

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Computational Biomechanics for Medicine

Abstract

Computational fluid dynamics (CFD) can be used to model the blood flow in patient-specific arterial geometries and predict atherosclerotic plaque progression, as the site specificity of plaques has been shown to depend on the wall shear stress (WSS) experienced by an artery’s endothelial layer. The level of artery wall detail in CFD models is expected to underpin predictions of plaque deposition, as it influences the computation of WSS. In this study, the sensitivity of WSS computation to geometric variation in a (proximally) stented left anterior descending (LAD) coronary artery geometry is investigated. The geometry is reconstructed from intravascular optical coherence tomography (OCT) images, which are registered and merged with computed tomography (CT) to include surrounding arteries. The WSS is modelled for low-, medium- and high-resolution geometries; created by altering the point resolution of the contour algorithm used to trace the (OCT imaged) artery lumen. The results show that areas of low WSS (and thus high thrombotic susceptibility) in the stented portion of the artery depended greatly on the resolution of the geometric reconstruction. Compared with the high-resolution geometry, the low- and medium-resolutions failed to accurately determine the areas of low WSS in the stented region, as minor geometric features were inadequately represented. The sensitivity of WSS to geometric variation is also relevant to analyses using coronary artery geometries derived from other imaging modalities (particularly those of lower resolution than OCT).

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Author information

Authors and Affiliations

  1. Vascular Engineering Laboratory, Harry Perkins Institute of Medical Research, Perth, WA, Australia

    Lachlan J. Kelsey & Barry J. Doyle

  2. Intelligent Systems for Medicine Laboratory, School of Mechanical and Chemical Engineering, The University of Western Australia, Perth, WA, Australia

    Lachlan J. Kelsey & Karol Miller

  3. Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia

    Carl Schultz

  4. School of Medicine, The University of Western Australia, Perth, WA, Australia

    Carl Schultz

  5. Institute of Mechanics and Advanced Materials, Cardiff University, Cardiff, UK

    Karol Miller

  6. British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK

    Barry J. Doyle

  7. School of Mechanical and Chemical Engineering, The University of Western Australia, Perth, WA, Australia

    Barry J. Doyle

Authors
  1. Lachlan J. Kelsey
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  2. Carl Schultz
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  4. Barry J. Doyle
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Corresponding author

Correspondence to Barry J. Doyle .

Editor information

Editors and Affiliations

  1. Intelligent Systems for Medicine Laboratory, School of Mechanical and Chemical Engineering, The University of Western Australia, Perth, West Australia, Australia

    Adam Wittek

  2. Intelligent Systems for Medicine Laboratory, School of Mechanical and Chemical Engineering, The University of Western Australia, Perth, West Australia, Australia

    Grand Joldes

  3. Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand

    Poul M.F. Nielsen

  4. School of Mechanical and Chemical Engineering, The University of Western Australia, Perth, West Australia, Australia

    Barry J. Doyle

  5. Intelligent Systems for Medicine Laboratory, School of Mechanical and Chemical Engineering, The University of Western Australia, Perth, West Australia, Australia

    Karol Miller

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Kelsey, L.J., Schultz, C., Miller, K., Doyle, B.J. (2017). The Effects of Geometric Variation from OCT-Derived 3D Reconstructions on Wall Shear Stress in a Patient-Specific Coronary Artery. In: Wittek, A., Joldes, G., Nielsen, P., Doyle, B., Miller, K. (eds) Computational Biomechanics for Medicine. Springer, Cham. https://doi.org/10.1007/978-3-319-54481-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-54481-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54480-9

  • Online ISBN: 978-3-319-54481-6

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