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ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

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2. INTRODUCTION<br />

Analyzing mechanical stress and strain distribution in human soft tissue is gaining<br />

importance as its potential grows in evaluating stress induced trauma with<br />

computational models. Most commonly, continuum models are employed to investigate<br />

the mechanical behaviour in impact biomechanics and rehabilitation engineering,<br />

including pressure-sore related tissue support evaluation (e.g. Gefen et al., 2005;<br />

Linder-Ganz et al., 2007; Majumder et al., 2008; Ceelen et al., 2008). Mechanical data<br />

from tissue employed for simulation is mainly based on ex vivo animal experiments<br />

since data for in vivo human tissue properties is lacking. Especially, in vivo transient<br />

large deformation data from human tissue is sparse.<br />

Several animal studies have been performed investigating the viscoelastic properties of<br />

skeletal muscle (Best et al., 1994, in rabbit; Bosboom et al., 2001, in rat; Van Loocke et<br />

al., 2008, in swine) and of porcine adipose tissue (Geerligs et al., 2008; Sims et al.,<br />

2010; Comley and Fleck, 2010). Some of these studies, employing ex vivo testing,<br />

showed marked differences in the response of fresh and aged tissue. Additionally,<br />

assessing the significance of effects such as interstitial fluid flow and pressure,<br />

hydration or blood circulation, as present in the living organism, remains difficult.<br />

Studies investigating the elastic mechanical in vivo response of human gluteal tissue<br />

have been performed by some investigators (Todd and Thacker, 1994; Brosh and Arcan,<br />

2000; Moes and Horváth, 2002).<br />

To complement methodological information regarding hyperelastic long-term tissue<br />

property evaluation in vivo, provided in Then et al. (2007), an in vivo indentation<br />

method is presented to evaluate the viscoelastic relaxation behaviour of human gluteal<br />

adipose (including skin) and passive skeletal muscle tissue. The adipose-muscle tissue<br />

compound is not, as in most indentation approaches, considered as a single aggregate,<br />

but evaluates the individual contribution of each tissue. This is accomplished in<br />

combination with magnetic resonance imaging (MRI) for non-destructive tissue<br />

displacement field evaluation, applying the assumption of continuous indenter force<br />

transmission through all tissue layers. In addition, the method employs a separable<br />

viscoelastic formulation with exponential, i.e. Prony series in conjunction with a<br />

hyperelastic model formulation. Performing ramp-and-hold experiments, the material<br />

parameters of the quasi-linear viscoelasticity model were derived based on in vivo<br />

relaxation test data from the human buttocks. Test scenarios were modelled and<br />

simulated and the numerical output was fitted to the experimental data. Separate<br />

parameter sets describing transient human gluteal adipose and transversally loaded<br />

passive muscle tissue properties were thus obtained.<br />

The derived material parameters were used in interaction simulation comprising a finite<br />

element model of the gluteal region based upon anatomically adequate, three<br />

dimensional surface data obtained from magnetic resonance imaging.<br />

3. MATERIALS AND METHODS<br />

Stepwise and cyclic tissue indentation with holding periods was performed in the gluteal<br />

region within the MR environment at a constant loading and unloading speed, to<br />

separate the elastic from the inelastic tissue material properties. Here, the indenter<br />

loading was applied orthogonal to the skin surface and transversal to the gluteal muscle<br />

fibres. Indentation force and displacement were recorded and the deformed tissue at the<br />

single loading steps was MR scanned to gain internal tissue displacement field

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