Towards a Complex Automata Multiscale Model of In-Stent Restenosis

  • Authors:

  • Alfonso Caiazzo;David Evans;Jean-Luc Falcone;Jan Hegewald;Eric Lorenz;Bernd Stahl;Dinan Wang;Jörg Bernsdorf;Bastien Chopard;Julian Gunn;Rod Hose;Manfred Krafczyk;Patricia Lawford;Rod Smallwood;Dawn Walker;Alfons G. Hoekstra

  • Affiliations:

  • INRIA Rocquencourt, France;The University of Sheffield, UK;CUI Department, University of Geneva, Switzerland;Technical University of Braunschweig, Germany;University of Amsterdam, the Netherlands;CUI Department, University of Geneva, Switzerland;NEC Laboratories Europe, St. Augustin, Germany;NEC Laboratories Europe, St. Augustin, Germany;CUI Department, University of Geneva, Switzerland;The University of Sheffield, UK;The University of Sheffield, UK;Technical University of Braunschweig, Germany;The University of Sheffield, UK;The University of Sheffield, UK;The University of Sheffield, UK;University of Amsterdam, the Netherlands

  • Venue:
  • ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
  • Year:
  • 2009

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Abstract

In-stent restenosis, the maladaptive response of a blood vessel to injury caused by the deployment of a stent, is a multiscale problem involving a large number of processes. We describe a Complex Automata Model for in-stent restenosis, coupling a bulk flow, drug diffusion, and smooth muscle cell model, all operating on different time scales. Details of the single scale models and of the coupling interfaces are described, together with first simulation results, obtained with a dedicated software environment for Complex Automata simulations. The results show that the model can reproduce growth trends observed in experimental studies.