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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 main goal of this study is to combine the bone remodeling scheme with a subjectspecific<br />

musculoskeletal model for estimating the loads, and to determine the model<br />

parameters that have the biggest influence on the bone remodeling outcome when<br />

estimating bone remodeling for a 3D geometry with 3D loading cases. Secondly to get<br />

an insight which aspects of a patient-specific load-based bone remodeling model are<br />

important to accurately predict the bone density distribution in the proximal femur by<br />

comparing the results with image based material properties.<br />

3. MATERIALS AND METHODS<br />

3.1 Bone remodeling model<br />

The anisotropic bone remodeling model used is based on the principles of continuum<br />

damage mechanics [2]. It uses a fabric tensor and the apparent density as internal<br />

variables to model both the change in bone density distribution as well as the<br />

directionality of the microstructure. Starting from isotropic material properties, the<br />

material will adjust and align its principal directions with those of the stress tensor,<br />

while also resorbing bone where it is not contributing to the load-supporting structure of<br />

the bone. The bone remodeling algorithm was implemented and executed for hundred<br />

increments of analysis, after which changes in bone density became negligible.<br />

3.2 FE-model<br />

A semi-automatic segmented triangulated surface mesh was constructed from CTimages<br />

using Mimics (Materialise NV, Leuven, Belgium). Starting from a bone<br />

threshold of 226 HU, followed by a cleaning operation including manual editing and<br />

morphological operations, Standard Triangulation Language (STL) files were generated.<br />

A linear tetrahedral volume mesh was constructed using an automatic meshing in<br />

MSC.Patran after smoothing and homogenizing the surface triangles. To limit<br />

calculation time, the volume mesh was reduced to only contain the most proximal third,<br />

and was then distally fixed in three vertices around the border of the cut. The density<br />

profile of the proximal part was very similar whether or not a larger part of the femur<br />

was used. Only near the elements that were clamped, was there a visual difference.<br />

After relative positioning of the femoral head with respect to the pelvic bone, the<br />

maximal contact surface was determined by thresholding the maximum distance<br />

between the contact surfaces. Contact forces on this surface were chosen pointing<br />

towards the hip joint center, with amplitudes proportional to the projected vertex surface<br />

area, diminishing in amplitude away from a pole [8]. The magnitude and location of this<br />

pole was determined iteratively starting from the direction of the total contact force until<br />

the required total contact force was acquired. When no relative positional data of the hip<br />

bones was available, as is the case when using generic loading conditions, the maximal<br />

contact surface was chosen by a conical cut with an opening angle of 45 degrees from<br />

the direction of the force.<br />

The FE-meshes were imported into Mimics again and material properties were assigned<br />

by relating the HU from the CT-image with bone mineral density. In literature different

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