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Stented artery biomechanics and device design optimization

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Abstract

The deployment of a vascular stent aims to increase lumen diameter for the restoration of blood flow, but the accompanied alterations in the mechanical environment possibly affect the long-term patency of these devices. The primary aim of this investigation was to develop an algorithm to optimize stent design, allowing for consideration of competing solid mechanical concerns (wall stress, lumen gain, and cyclic deflection). Finite element modeling (FEM) was used to estimate artery wall stress and systolic/diastolic geometries, from which single parameter outputs were derived expressing stress, lumen gain, and cyclic artery wall deflection. An optimization scheme was developed using Lagrangian interpolation elements that sought to minimize the sum of these outputs, with weighting coefficients. Varying the weighting coefficients results in stent designs that prioritize one output over another. The accuracy of the algorithm was confirmed by evaluating the resulting outputs of the optimized geometries using FEM. The capacity of the optimization algorithm to identify optimal geometries and their resulting mechanical measures was retained over a wide range of weighting coefficients. The variety of stent designs identified provides general guidelines that have potential clinical use (i.e., lesion-specific stenting).

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Authors and Affiliations

  1. Department of Biomedical Engineering, Texas A&M University, 3120 TAMU, College Station, TX, 77843-3120, USA

    Lucas H. Timmins, Michael R. Moreno, Clark A. Meyer, John C. Criscione & James E. Moore Jr

  2. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332-0405, USA

    Alexander Rachev

Authors
  1. Lucas H. Timmins
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  2. Michael R. Moreno
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  3. Clark A. Meyer
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  4. John C. Criscione
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  5. Alexander Rachev
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  6. James E. Moore Jr
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Correspondence to James E. Moore Jr.

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Timmins, L.H., Moreno, M.R., Meyer, C.A. et al. Stented artery biomechanics and device design optimization. Med Bio Eng Comput 45, 505–513 (2007). https://doi.org/10.1007/s11517-007-0180-3

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  • DOI: https://doi.org/10.1007/s11517-007-0180-3

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