International Journal for Numerical Methods in Biomedical Engineering

Cover image for Vol. 29 Issue 6

June 2013

Volume 29, Issue 6

Pages 645–721

  1. Research Articles

    1. Top of page
    2. Research Articles
    1. Patient-specific finite element analysis of carotid artery stenting: a focus on vessel modeling (pages 645–664)

      F. Auricchio, M. Conti, A. Ferrara, S. Morganti and A. Reali

      Version of Record online: 29 SEP 2012 | DOI: 10.1002/cnm.2511

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      The study investigates the impact of carotid stent apposition on vascular anatomy by patient-specific finite element analysis. In particular, we consider, for a given stent design and artery model, two constitutive models for the vessel wall, that is, a hyperelastic isotropic versus a fiber-reinforced hyperelastic anisotropic model. Despite both models predicting a similar stress distribution, the anisotropic model predicts a higher vessel straightening and a more evident discontinuity of the lumen near the stent ends, as observed in the clinical practice.

    2. Cardiovascular and lung mesh generation based on centerlines (pages 665–682)

      E. Marchandise, C. Geuzaine and J.F. Remacle

      Version of Record online: 19 APR 2013 | DOI: 10.1002/cnm.2549

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      This paper presents a new automatic meshing algorithm for the generation of computational meshes from a segmented tubular geometry. The proposed methodology is based on different centerline-based descriptors and operators. Different types of computational meshes can be generated with this method: isotropic tetrahedral meshes, anisotropic tetrahedral meshes, or mixed hexahedral/tetrahedral meshes as well as boundary layer meshes for the lumen wall. The mesh size field is a function of the centerline-based descriptor.

    3. Reconstruction of retrospective cardiac activity—numerical study in a single cell and in a linear strand (pages 683–697)

      Zohar Zafrir and Sharon Zlochiver

      Version of Record online: 3 MAY 2013 | DOI: 10.1002/cnm.2553

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      Although computational modeling of the prospective electrical activity in the cardiac tissue is well established, the retrospective extrapolation of this activity has not been explored to date. Using minimal human cardiac kinetic models and a Newton–Raphson algorithm, we demonstrate the feasibility of past activity reconstruction in a single cell and a linear strand. We envision that this methodology could be implemented in future clinical applications, for example to trace the location and time foci during ablation procedures.

    4. Simulation-based uncertainty quantification of human arterial network hemodynamics (pages 698–721)

      Peng Chen, Alfio Quarteroni and Gianluigi Rozza

      Version of Record online: 7 MAY 2013 | DOI: 10.1002/cnm.2554

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      This work aims at identifying and quantifying uncertainties from various sources in human cardiovascular system. We establish the stochastic model as a coupled hyperbolic system incorporated with parametric uncertainties to describe the blood flow and pressure wave propagation in a relatively complete arterial network. By applying a stochastic collocation method with sparse grid technique, we carry out statistical and sensitivity analysis for the stochastic solution with potential physiological and pathological implications for the first time.

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