Statistical finite element model for bone shape and biomechanical properties

Authors:
Laura Belenguer Querol;Philippe Büchler;Daniel Rueckert;Lutz P. Nolte;Miguel Á.González Ballester
Affiliations:
MEM Research Center, University of Bern, Switzerland;MEM Research Center, University of Bern, Switzerland;Visual Information Processing, Department of Computing, Imperial College London, UK;MEM Research Center, University of Bern, Switzerland;MEM Research Center, University of Bern, Switzerland
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2006

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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.