Mapping Anisotropy of the Proximal Femur for Improved Image-Based Finite Element Analysis
| atmire.migration.oldid | 1219 | |
| dc.contributor.advisor | Boyd, Steven | |
| dc.contributor.author | Enns-Bray, William | |
| dc.date.accessioned | 2013-08-09T15:01:46Z | |
| dc.date.available | 2013-11-12T08:00:10Z | |
| dc.date.issued | 2013-08-09 | |
| dc.date.submitted | 2013 | en |
| dc.description.abstract | Finite element (FE) models of bone derived from clinical quantitative computed tomography (QCT) rely on realistic material properties to accurately predict patient-specific bone strength in vivo. QCT cannot resolve microarchitecture, therefore QCT-based FE models lack the directionality apparent within trabecular bone. Maps of anisotropy were constructed from high-resolution peripheral QCT (HR-pQCT) images of seven femur specimens using a „direct mechanics‟ method to measure local anisotropy. The resulting directionality reflected all the major structural patterns visible within the microarchitecture of the proximal femur. Principal stiffness directions were interpolated into QCT-based femur models, and whole bone stiffness was calculated for orthotropic and isotropic models in a sideways fall configuration. Comparing model stiffness to experimental data revealed no difference in correlation (R2ORTH = 0.780, R2ISO = 0.788). These results suggest that the variability in stiffness explained by anisotropy at the microarchitecture level does not scale to whole bone models for this specific loading configuration. | en_US |
| dc.identifier.citation | Enns-Bray, W. (2013). Mapping Anisotropy of the Proximal Femur for Improved Image-Based Finite Element Analysis (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26827 | en_US |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/26827 | |
| dc.identifier.uri | http://hdl.handle.net/11023/863 | |
| dc.language.iso | eng | |
| dc.publisher.faculty | Graduate Studies | |
| dc.publisher.institution | University of Calgary | en |
| dc.publisher.place | Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | |
| dc.subject | Biomedical | |
| dc.subject.classification | Femur | en_US |
| dc.subject.classification | Finite Element | en_US |
| dc.subject.classification | Anisotropy | en_US |
| dc.subject.classification | Computed Tomography | en_US |
| dc.subject.classification | Biomechanics | en_US |
| dc.title | Mapping Anisotropy of the Proximal Femur for Improved Image-Based Finite Element Analysis | |
| dc.type | master thesis | |
| thesis.degree.discipline | Biomedical Engineering | |
| thesis.degree.grantor | University of Calgary | |
| thesis.degree.name | Master of Science (MSc) | |
| ucalgary.item.requestcopy | true |