Can I read Use of a Statistical Model of the Whole Femur in a Large Scale, Multi-model Study of Femoral Neck Fracture Risk on EtoBox?

Use of a Statistical Model of the Whole Femur in a Large Scale, Multi-model Study of Femoral Neck Fracture Risk by Rebecca Bryan; Prasanth B. Nair; Mark Taylor is a Medicine article available to read on EtoBox.

What is Use of a Statistical Model of the Whole Femur in a Large Scale, Multi-model Study of Femoral Neck Fracture Risk about?

Interpatient variability is often overlooked in orthopaedic computational studies due to the substantial challenges involved in sourcing and generating large numbers of bone models. A statistical model of the whole femur incorporating both geometric and material property variation was developed as a potential solution to this problem. The statistical model was constructed using principal component analysis, applied to 21 individual computer tomography scans. To test the ability of the statistical model to generate realistic, unique, finite element (FE) femur models it was used as a source of 1000 femurs to drive a study on femoral neck fracture risk. The study simulated the impact of an oblique fall to the side, a scenario known to account for a large proportion of hip fractures in the elderly and have a lower fracture load than alternative loading approaches. FE model generation, application of subject specific loading and boundary conditions, FE processing and post processing of the solutions were completed automatically. The generated models were within the bounds of the training data used to create the statistical model with a high mesh quality, able to be used directly by the

Who reads Use of a Statistical Model of the Whole Femur in a Large Scale, Multi-model Study of Femoral Neck Fracture Risk?

Author

Rebecca Bryan; Prasanth B. Nair; Mark Taylor

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0021-9290)

Published

2009

Language

EN

Field

Medicine (Health Sciences)