27.12.2012 Views

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

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Fig. 2: Percentage of bone volume with a certain error<br />

for different density ranges for the reference<br />

simulation parameters<br />

5. DISCUSSION<br />

Multiple sources cause the discrepancy between the densities acquired from the bone<br />

remodeling simulations and those derived from CT scans. The linear correlations<br />

between the medical image data and real bone properties are an approximation, and<br />

formulations in literature for these vary greatly. This is related to the fact that the scale<br />

of the HU’s varies according to the scanner used. Additional errors arise from the mesh<br />

itself. Since the maximal edge size of the elements used, was bigger than the voxel<br />

resolution, the material properties are calculated from interpolated HU’s instead of the<br />

real values. This results in a blurring of the cortical bone, with a lower density and a<br />

thicker border. Also since some smoothing was performed to provide a better mesh<br />

quality, the outer shell of the mesh will contain volumes that lie outside the bone. The<br />

bone remodeling model will predict cortical bone with a maximal density here, while<br />

the real cortical border starts more inwards.<br />

Only one gait cycle was used to calculate the load cases used. However human gait,<br />

even within one subject, varies a lot. This cycle is not necessarily representative for the<br />

average gait cycle of the subject and the loads that act on the femur. When simulating<br />

bone remodeling with loads coming from an atypical gait cycle, patterns that are far<br />

from reality can be found. Measuring multiple cycles and using the averaged cycle, or a<br />

probabilistic methodology could improve the reliability of the model. Loads that<br />

contribute to the bone remodeling, but that are not part of human walking like stair<br />

walking, should be considered.<br />

An accurate and representative set of muscle and joint forces, will still give bone<br />

densities that deviate from the in vivo values. Factors that are not directly related to the<br />

mechanical stimulus, like genetic predetermination, could skew the bone remodeling

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!