Abstract
We present a framework for statistical finite element analysis combining shape and material properties, and allowing performing statistical statements of biomechanical performance across a given population. In this paper, we focus on the design of orthopaedic implants that fit a maximum percentage of the target population, both in terms of geometry and biomechanical stability. CT scans of the bone under consideration are registered non-rigidly to obtain correspondences in position and intensity between them. A statistical model of shape and intensity (bone density) is computed by means of principal component analysis. Afterwards, finite element analysis (FEA) is performed to analyse the biomechanical performance of the bones. Realistic forces are applied on the bones and the resulting displacement and bone stress distribution are calculated. The mechanical behaviour of different PCA bone instances is compared. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Querol, L. B., Büchler, P., Rueckert, D., Nolte, L. P., & González Ballester, M. Á. (2006). Statistical finite element model for bone shape and biomechanical properties. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4190 LNCS-I, pp. 405–411). Springer Verlag. https://doi.org/10.1007/11866565_50
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.