Literature DB >> 22587464

Self-expanding stent modelling and radial force accuracy.

Ríona Ní Ghriallais1, Mark Bruzzi.   

Abstract

Computational simulations using finite element analysis are a tool commonly used to analyse stent designs, deployment geometries and interactions between stent struts and arterial tissue. Such studies require large computational models and efforts are often made to simplify models in order to reduce computational time while maintaining reasonable accuracy. The objective of the study is focused on computational modelling and specifically aims to investigate how different methods of modelling stent-artery interactions can affect the results, computational time taken and computational size of the model. Various different models, each with increasing levels of complexity, are used to simulate this analysis, representing the many assumptions and simplifications used in other similar studies in order to determine what level of simplification will still allow for an accurate representation of stent radial force and resulting stress concentrations on the inner lining of the vessel during self-expanding stent deployment. The main conclusions of the study are that methods used in stent crimping impact on the resulting predicted radial force of the stent; that accurate representation of stent-artery interactions can only be made when modelling the full length of the stent due to the incorporation of end effects; and that modelling self-contact of the stent struts greatly impacts on the resulting stress concentrations within the stent, but that the effect of this on the unloading behaviour and resulting radial force of the stent is negligible.

Keywords:  Nitinol; artery interaction; finite element analysis; radial force; self-expanding stent

Mesh:

Year:  2012        PMID: 22587464     DOI: 10.1080/10255842.2012.683427

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  4 in total

1.  Carotid endarterectomy versus stenting: Does the flow really change? An Echo-Color-Doppler analysis.

Authors:  Pierleone Lucatelli; Fabrizio Fanelli; Carlo Cirelli; Beatrice Sacconi; Michele Anzidei; Roberto Montisci; Roberto Sanfilippo; Elisabetta Tamponi; Carlo Catalano; Luca Saba
Journal:  Int J Cardiovasc Imaging       Date:  2015-02-20       Impact factor: 2.357

2.  Interactive virtual stent planning for the treatment of coarctation of the aorta.

Authors:  Mathias Neugebauer; Martin Glöckler; Leonid Goubergrits; Marcus Kelm; Titus Kuehne; Anja Hennemuth
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-05-16       Impact factor: 2.924

3.  Influence of Structural Porosity and Martensite Evolution on Mechanical Characteristics of Nitinol via In-Silico Finite Element Approach.

Authors:  Josiah Cherian Chekotu; David Kinahan; Russell Goodall; Dermot Brabazon
Journal:  Materials (Basel)       Date:  2022-08-04       Impact factor: 3.748

4.  Effect of Stent Radial Force on Stress Pattern After Deployment: A Finite Element Study.

Authors:  Alessandro Borghi; Olive Murphy; Reza Bahmanyar; Chris McLeod
Journal:  J Mater Eng Perform       Date:  2014-02-26       Impact factor: 1.819

  4 in total

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