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Title of Journal: Meccanica

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Abbravation: Meccanica

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Springer Netherlands

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DOI

10.1016/0016-0032(69)90040-4

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1572-9648

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Patientspecific finite element analysis of poplit

Authors: Michele Conti Michele Marconi Giulia Campanile Alessandro Reali Daniele Adami Raffaella Berchiolli Ferdinando Auricchio
Publish Date: 2016/06/07
Volume: 52, Issue: 3, Pages: 633-644
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Abstract

Nitinol selfexpanding stents are used for the endovascular management of peripheral artery diseases of the popliteal artery which is located behind the knee joint Unfortunately the complex kinematics of the artery during the leg flexion leads to severe loading conditions favouring the mechanical failure of the stent calling for a specific biomechanical analysis For this reason in the present study we reconstruct by medical image analysis the patientspecific popliteal kinematics during leg flexion which is subsequently exploited to compute the mechanical response of a stent model virtually implanted in the artery by structural finite element analysis FEA The medical image analysis indicates a nonuniform configuration change of the artery during the leg flexion leading to an increase of the vessel curvature above the knee The computed mechanical response of the stent reflects the nonuniform configuration change of the artery as after the flexion the average stress is higher in the part of the stent located above the knee Although the proposed analysis is limited to a casestudy it shows the capability of patientspecific FEA simulations to compute the mechanical response of a stent model subjected to the complex and severe loading conditions of the popliteal artery during leg flexionThis work is partially funded by ERC Starting Grant through the Project ISOBIO Isogeometric Methods for Biomechanics No 259229 Ministero dell’Istruzione dell’Universitá e della Ricerca through the Project No 2010BFXRHS iCardioCloud project by Cariplo Foundation No 20131779 and Lombardy Region No 42938382 No 46554874 The authors acknowledge MD Mauro Ferrari clinical support Eng Stefania Marconi medical image elaboration and the support of Regione Lombardia and CINECA Consortium through the grant LISA 2013 highperformance computing

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