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dc.contributor.authorPrendergast, Patricken
dc.contributor.authorLENNON, ALEXANDERen
dc.contributor.authorKELLY, DANIELen
dc.contributor.authorBOYLE, COLINen
dc.contributor.authorEARLY, MICHAELen
dc.contributor.authorLALLY, CAITRIONAen
dc.date.accessioned2010-05-26T14:16:46Z
dc.date.available2010-05-26T14:16:46Z
dc.date.issued2010en
dc.date.submitted2010en
dc.identifier.citationBoyle CJ, Lennon AB, Early M, Kelly DJ, Lally C, Prendergast PJ, Computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents., Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 368, 1921, 2010, 2919-35en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/39846
dc.descriptionPUBLISHEDen
dc.description.abstractThe design of medical devices could be very much improved if robust tools were available for computational simulation of tissue response to the presence of the implant. Such tools require algorithms to simulate the response of tissues to mechanical and chemical stimuli. Available methodologies include those based on the principle of mechanical homeostasis, those which use continuum models to simulate biological constituents, and the cell-centred approach, which models cells as autonomous agents. In the latter approach, cell behaviour is governed by rules based on the state of the local environment around the cell; and informed by experiment. Tissue growth and differentiation requires simulating many of these cells together. In this paper, the methodology and applications of cell-centred techniques?with particular application to mechanobiology?are reviewed, and a cell-centred model of tissue formation in the lumen of an artery in response to the deployment of a stent is presented. The method is capable of capturing some of the most important aspects of restenosis, including nonlinear lesion growth with time. The approach taken in this paper provides a framework for simulating restenosis; the next step will be to couple it with more patient-specific geometries and quantitative parameter data.en
dc.format.extent2919-35en
dc.language.isoenen
dc.relation.ispartofseriesPhilosophical transactions. Series A, Mathematical, physical, and engineering sciencesen
dc.relation.ispartofseries368en
dc.relation.ispartofseries1921en
dc.rightsYen
dc.subjectcell-centreden
dc.subjectlattice-baseden
dc.titleComputational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents.en
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/pprenderen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/kellyd9en
dc.identifier.peoplefinderurlhttp://people.tcd.ie/lallycaen
dc.identifier.rssinternalid66783en
dc.identifier.doihttp://dx.doi.org/10.1098/rsta.2010.0071en
dc.subject.TCDThemeNext Generation Medical Devicesen
dc.identifier.rssurihttp://rsta.royalsocietypublishing.org/content/368/1921/2919.abstracten
dc.contributor.sponsorScience Foundation Ireland (SFI)en


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