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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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distribution, with an average difference of 41 kg/m³ and 14 kg/m³ for resp. five and<br />

seven load cases compared to the reference simulation. Changing the weights however<br />

did have a more pronounced impact on the density. The main difference seems to be a<br />

decrease in the average density, with 455 kg/m³ when lowering the relative weight of<br />

the mid-stance to two compared to the 657 kg/m³ for the reference model. Since the<br />

weight of the body at the beginning and the end of the stance phase is also partially<br />

balance by the other leg, the mechanical stimulus will be lower when a higher weight is<br />

given to these load cases, which eventually leads to a lower density estimate. Reducing<br />

the attachment regions to only the three gluteus medius fibers resulted in similar<br />

average density (618 kg/m³), but with increased bone formation near the muscle<br />

insertion.<br />

A high initial density distribution (500 kg/m³) resulted in a relative high density in the<br />

medullary cavity and the femoral head. The model does not predict enough resorption to<br />

lower the density to realistic values. Note however that the bone remodeling of the<br />

femur in vivo will never start from this (relative high) homogeneous bone distribution.<br />

Further research is needed to evaluate whether this problem also manifests in cases<br />

where resorption does happen, like after total hip arthroplasty. When decreasing or<br />

increasing the amplitude of the muscle and contact forces, the same pattern emerges,<br />

however the apparent density values scale with average densities of 572, 690 and 742<br />

kg/m³ for a scaling factor of resp. 0.8, 1.2 and 1.4.<br />

4.3 Bone density comparison<br />

To compare the simulated result with the bone density estimate from CT scan we<br />

calculate the error level, defined as the minimum of the absolute and relative error. The<br />

absolute error was calculated as the difference between the bone density prediction and<br />

the density computed from HU, both in g/cm³. For the relative error this was normalized<br />

with the image based density estimate. These errors were calculated for four different<br />

ranges of densities (0≤ρ

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