Your browser doesn't support javascript.
loading
Severe bending of two aortic stent-grafts: an experimental and numerical mechanical analysis.
Demanget, Nicolas; Latil, Pierre; Orgéas, Laurent; Badel, Pierre; Avril, Stéphane; Geindreau, Christian; Albertini, Jean-Noël; Favre, Jean-Pierre.
Affiliation
  • Demanget N; Ecole Nationale Supérieure des Mines, CIS-EMSE, CNRS UMR 5146, 158 cours Fauriel, Saint-Etienne, 42023, France. nicolas.demanget@gmail.com
Ann Biomed Eng ; 40(12): 2674-86, 2012 Dec.
Article de En | MEDLINE | ID: mdl-22805981
ABSTRACT
Stent-grafts (SGs) are commonly used for treating abdominal aortic aneurysms (AAAs) and numerical models tend to be developed for predicting the biomechanical behavior of these devices. However, due to the complexity of SGs, it is important to validate the models. In this work, a validation of the numerical model developed in Demanget et al. (J. Mech. Behav. Biomed. Mater. 5272-282, 2012) is presented. Two commercially available SGs were subjected to severe bending tests and their 3D geometries in undeformed and bent configurations were imaged from X-ray microtomography. Dedicated image processing subroutines were used in order to extract the stent centerlines from the 3D images. These skeletons in the undeformed configurations were used to set up SG numerical models that are subjected to the boundary conditions measured experimentally. Skeletons of imaged and deformed stents were then quantitatively compared to the numerical simulations. A good agreement is found between experiments and simulations. This validation offers promising perspectives to implementing the numerical models in a computer-aided tool and simulating the endovascular treatments.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Aorte / Simulation numérique / Endoprothèses / Analyse de panne d'appareillage / Modèles cardiovasculaires Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Ann Biomed Eng Année: 2012 Type de document: Article Pays d'affiliation: France

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Aorte / Simulation numérique / Endoprothèses / Analyse de panne d'appareillage / Modèles cardiovasculaires Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Ann Biomed Eng Année: 2012 Type de document: Article Pays d'affiliation: France
...