Annals of Biomedical Engineering

, Volume 39, Issue 5, pp 1423–1437

A Rapid and Computationally Inexpensive Method to Virtually Implant Current and Next-Generation Stents into Subject-Specific Computational Fluid Dynamics Models

  • Timothy J. Gundert
  • Shawn C. Shadden
  • Andrew R. Williams
  • Bon-Kwon Koo
  • Jeffrey A. Feinstein
  • John F. LaDisaJr.
Article

DOI: 10.1007/s10439-010-0238-5

Cite this article as:
Gundert, T.J., Shadden, S.C., Williams, A.R. et al. Ann Biomed Eng (2011) 39: 1423. doi:10.1007/s10439-010-0238-5

Abstract

Computational modeling is often used to quantify hemodynamic alterations induced by stenting, but frequently uses simplified device or vascular representations. Based on a series of Boolean operations, we developed an efficient and robust method for assessing the influence of current and next-generation stents on local hemodynamics and vascular biomechanics quantified by computational fluid dynamics. Stent designs were parameterized to allow easy control over design features including the number, width and circumferential or longitudinal spacing of struts, as well as the implantation diameter and overall length. The approach allowed stents to be automatically regenerated for rapid analysis of the contribution of design features to resulting hemodynamic alterations. The applicability of the method was demonstrated with patient-specific models of a stented coronary artery bifurcation and basilar trunk aneurysm constructed from medical imaging data. In the coronary bifurcation, we analyzed the hemodynamic difference between closed-cell and open-cell stent geometries. We investigated the impact of decreased strut size in stents with a constant porosity for increasing flow stasis within the stented basilar aneurysm model. These examples demonstrate the current method can be used to investigate differences in stent performance in complex vascular beds for a variety of stenting procedures and clinical scenarios.

Keywords

Computational fluid dynamics Coronary artery disease Cerebral aneurysm Shear stress Numerical modeling 

Copyright information

© Biomedical Engineering Society 2011

Authors and Affiliations

  • Timothy J. Gundert
    • 1
  • Shawn C. Shadden
    • 2
  • Andrew R. Williams
    • 1
  • Bon-Kwon Koo
    • 3
  • Jeffrey A. Feinstein
    • 4
    • 5
  • John F. LaDisaJr.
    • 1
    • 6
    • 7
  1. 1.Department of Biomedical EngineeringMarquette UniversityMilwaukeeUSA
  2. 2.Mechanical, Materials and Aerospace EngineeringIllinois Institute of TechnologyChicagoUSA
  3. 3.Seoul National University College of MedicineSeoulKorea
  4. 4.Department of Pediatrics (Cardiology)Lucile Packard Children’s Hospital and Stanford University School of MedicinePalo AltoUSA
  5. 5.Department of BioengineeringLucile Packard Children’s Hospital and Stanford University School of MedicinePalo AltoUSA
  6. 6.Department of Medicine, Division of Cardiovascular MedicineMedical College of WisconsinMilwaukeeUSA
  7. 7.Department of Pediatrics, Division of PediatricsChildren’s Hospital and the Medical College of WisconsinMilwaukeeUSA

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