title: Identification of artery wall stiffness: in vitro validation and in vivo results of a data assimilation procedure applied to a 3D fluid-structure interaction model.
abstract: We consider the problem of estimating the stiffness of an artery wall using a data assimilation method applied to a 3D fluid-structure interaction (FSI) model. Recalling previous works, we briefly present the FSI model, the data assimilation procedure and the segmentation algorithm. We present then two examples of the procedure using real data. First, we estimate the stiffness distribution of a silicon rubber tube from image data. Second, we present the estimation of aortic wall stiffness from real clinical data.
authors: Project-Team REO, INRIA Paris-Rocquencourt, 78153 Le Chesnay, Laboratoire Jacques Louis Lions, Université Pierre et Marie Curie - Paris 6, France. Electronic address: bertoglio@lnm.mw.tum.de.
authors: Cristóbal
authors: C
authors: Bertoglio
authors: Department of Cardiovascular Sciences, University of Sheffield, Sheffield S10 2RX, UK. Electronic address: d.Barber@sheffield.ac.uk.
authors: David
authors: D
authors: Barber
authors: Division of Imaging Sciences and Biomedical Engineering, King׳s College London, London SE1 7EH, UK. Electronic address: nicholas.gaddum@kcl.ac.uk.
authors: Nicholas
authors: N
authors: Gaddum
authors: Division of Imaging Sciences and Biomedical Engineering, King׳s College London, London SE1 7EH, UK. Electronic address: isra.valverde@kcl.ac.uk.
authors: Israel
authors: I
authors: Valverde
authors: Materials Technology Institute, Technical University of Eindhoven, 5600 MB Eindhoven, The Netherlands. Electronic address: m.c.m.rutten@tue.nl.
authors: Marcel
authors: M
authors: Rutten
authors: Clinic for Paediatric Cardiology and Internal Medicine, Hannover Medical School, 30625 Hannover, Germany. Electronic address: beerbaum.philipp@mh-hannover.de.
authors: Philipp
authors: P
authors: Beerbaum
authors: Project-Team M3DISIM, INRIA Saclay Ile-de-France, 91120 Palaiseau, France. Electronic address: philippe.moireau@inria.fr.
authors: Philippe
authors: P
authors: Moireau
authors: Department of Cardiovascular Sciences, University of Sheffield, Sheffield S10 2RX, UK. Electronic address: d.r.hose@sheffield.ac.uk.
authors: Rodney
authors: R
authors: Hose
authors: Project-Team REO, INRIA Paris-Rocquencourt, 78153 Le Chesnay, Laboratoire Jacques Louis Lions, Université Pierre et Marie Curie - Paris 6, France. Electronic address: jean-frederic.gerbeau@inria.fr.
authors: Jean-Frédéric
authors: JF
authors: Gerbeau
mesh_terms: D000465:Algorithms; D001011:Aorta / Q000502:physiology*; D001017:Aortic Coarctation / Q000503:physiopathology; D003198:Computer Simulation; D006801:Humans; D008297:Male; D008955:Models, Cardiovascular; D059289:Vascular Stiffness; D055815:Young Adult
keywords: Coarctation of the aorta; Data assimilation; Experimental validation; Fluid–structure interaction; Medical imaging; Stiffness estimation