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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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THE INFLUENCE OF UNCERTAIN ANATOMICAL PARAMETERS ON<br />

THE RESPONSE OF FINITE ELEMENT MODELS OF THE HUMAN<br />

LUMBAR SPINE<br />

1. ABSTRACT<br />

F. Niemeyer 1 , H. J. Wilke 1 and H. Schmidt 2<br />

Contemporary finite element models of the human spine contain a vast amount of highly<br />

uncertain independent parameters. A systematic exploration of the impact of interindividual<br />

variability in geometry on the biomechanics of the spine is still pending. To<br />

address the question, whether deterministic models suffice to represent the biomechanics<br />

of the human lumbar spine, we analyzed the effects of randomly distributed geometry<br />

parameters on the distribution of different model responses.<br />

2. INTRODUCTION<br />

Finite element (FE) models of the human spine (or parts thereof) are in wide use today<br />

to investigate the biomechanics of the healthy spine and the effects of various kinds of<br />

degeneration processes. Numerical simulations have also proven valuable for comparing<br />

the performance of different implants.<br />

The usual way of creating such models based on a single CT data set yields a model that<br />

represents one single and hence highly specific anatomy. Yet, we know that the spine’s<br />

anatomy can indeed vary widely between different persons—which begs the question,<br />

whether it is valid to use such models to deduce generalized statements about the human<br />

spine. Can a deterministic model based on a single specific geometry really represent<br />

the biomechanics of a broad range of anatomically different spines? Or should the geometry<br />

of FE models reflect this inherent inter-individual variability?<br />

Answering these questions requires modeling uncertainty itself, a method long known in<br />

engineering under the name of probabilistic design. In our case, we used this method to<br />

estimate the influence of the uncertainty in geometry parameters on the biomechanical<br />

behavior of an L3-L4 segment. Note that the variability in the parameters can be due to<br />

both inter-individual anatomical variability and measuring errors.<br />

4. FE MODEL OF THE L3-L4 SEGMENT<br />

To enable automatic generation of an arbitrary amount of model variations and to keep<br />

the computational cost bearable, our FE model abstracts from minor anatomical details<br />

quite heavily and only models major geometry features (Fig. 1). For modeling the disc<br />

and ligaments we use an approach analogous to that described by Schmidt et al., 1,2 using<br />

uniaxial reinforcement elements with non-linear tensile stress-strain behavior. We apply<br />

1 Institute for Orthopaedic Research and Biomechanics, Ulm <strong>University</strong>, Ulm, Germany<br />

2 Julius Wolff Institute for Biomechanics and Musculoskeletal Regeneration, Charité, Berlin, Germany

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