Geometric parameterisation of pelvic bone and cartilage in contact analysis of the natural hip: An initial study. (August 2015)

• Record Type: Journal Article
• Authors: Hua, Xijin; Li, Junyan; Wilcox, Ruth K; Fisher, John; Jones, Alison C
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 229:Number 8(2015:Aug.)
• Page Start: 570
• Page End: 580
• Publication Date: 2015-08
• Subjects: Hip -- finite element -- parameterisation -- parameterised models -- contact analysis; Biomedical engineering -- Periodicals; Medical instruments and apparatus -- Periodicals; 610.28
• DOI: 10.1177/0954411915592656
• Languages: English
• ISSNs: 0954-4119

Abstract

Parameterised finite element models of the human hip have the potential to allow controlled analysis of the effect of individual geometric features on the contact mechanics of the joint. However, the challenge lies in defining a set of parameters which sufficiently capture the joint geometry in order to distinguish between individuals. In this study, a simple set of parameters to describe the geometries of acetabulum and cartilage in the hip were extracted from two segmentation-based models, which were then used to generate the parameterised finite element models for the two subjects. The contact pressure and contact area at the articular surface predicted from the parameterised finite element models were compared with the results from the segmentation-based models. The differences in the predicted results between the parameterised models and segmentation-based models were found to be within 11% across seven activities simulated. In addition, the parameterised models were able to replicate features of the contact pressure/area fluctuations over the loading cycle that differed between the two subjects. These results provide confidence that the parameterised approach could be used to generate representative finite element models of the human hip for contact analysis. Such a method has the potential to be used to systematically evaluate geometric features that can be captured from simple clinical measurements and provide a cost- and time-effective approach for stratification of the acetabular geometries in the patient population.