Deployment of self-expandable stents in aneurysmatic cerebral vessels: comparison of different computational approaches for interventional planning

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  • dc.contributor.author Bernardini, A.ca
  • dc.contributor.author Larrabide, Ignacio, 1978-ca
  • dc.contributor.author Petrini, L.ca
  • dc.contributor.author Pennati, G.ca
  • dc.contributor.author Flore, Eleonoraca
  • dc.contributor.author Kim, Minsuokca
  • dc.contributor.author Frangi Caregnato, Alejandroca
  • dc.contributor.other Universitat Pompeu Fabraca
  • dc.date.accessioned 2012-12-13T13:54:11Z
  • dc.date.available 2012-12-13T13:54:11Z
  • dc.date.issued 2011ca
  • dc.description.abstract In the last few years, there has been a growing focus on faster computational methods to support clinicians in planning stenting procedures. This study investigates the possibility of introducing computational approximations in modelling stent deployment in aneurysmatic cerebral vessels to achieve simulations compatible with the constraints of real clinical workflows. The release of a self-expandable stent in a simplified aneurysmatic vessel was modelled in four different initial positions. Six progressively simplified modelling approaches (based on Finite Element method and Fast Virtual Stenting – FVS) have been used. Comparing accuracy of the results, the final configuration of the stent is more affected by neglecting mechanical properties of materials (FVS) than by adopting 1D instead of 3D stent models. Nevertheless, the differences/nshowed are acceptable compared to those achieved by considering different stent initial positions. Regarding computational/ncosts, simulations involving 1D stent features are the only ones feasible in clinical context.en
  • dc.description.sponsorship This work was partially supported within the CENIT CDTEAM (2006–2009) and cvREMOD (2010–2012) projects funded by the Spanish MICINN-CDTI, and partly within the framework of the @neurIST Integrated Project (IST-2005-027703), which is cofinanced by the European Commission within the IST Program of Sixth Framework Program.
  • dc.format.extent 7 p.
  • dc.format.mimetype application/pdfca
  • dc.identifier.citation Bernardini A, Larrabide I, Petrini L, Pennati G, Flore E, Kim M, Frangi AF. Deployment of self-expandable stents in aneurysmatic cerebral vessels: comparison of different computational approaches for interventional planning. Comput Methods Biomech Biomed Engin. 2012; 15(3): 303-311. DOI 10.1080/10255842.2010.527838ca
  • dc.identifier.doi http://dx.doi.org/10.1080/10255842.2010.527838
  • dc.identifier.issn 1025-5842ca
  • dc.identifier.uri http://hdl.handle.net/10230/19956
  • dc.language.iso engca
  • dc.publisher Taylor & Francis (Routledge)ca
  • dc.relation.ispartof Computer methods in biomechanics and biomedical engineering. 2012; 15(3): 303-311.
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP6/027703
  • dc.rights ©Taylor & Francis. This is an electronic version of an article published in: Bernardini A, Larrabide I, Petrini L, Pennati G, Flore E, Kim M, Frangi AF. Deployment of self-expandable stents in aneurysmatic cerebral vessels: comparison of different computational approaches for interventional planning. Comput Methods Biomech Biomed Engin. 2012; 15(3): 303-311. Computer Methods in Biomechanics and Biomedical Engineering is available online at: http://www.tandfonline.com/doi/abs/10.1080/10255842.2010.527838ca
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword Fast virtual stenting methoden
  • dc.subject.keyword Finite element methoden
  • dc.subject.keyword Shape memory alloyen
  • dc.subject.keyword Nitinolen
  • dc.subject.keyword Stenten
  • dc.subject.other Aneurismes cerebrals
  • dc.title Deployment of self-expandable stents in aneurysmatic cerebral vessels: comparison of different computational approaches for interventional planningca
  • dc.type info:eu-repo/semantics/articleca
  • dc.type.version info:eu-repo/semantics/acceptedVersionca