Population-specific evaluation of implant bone fitting using PCA shape space and level sets

Authors:
Nina Kozic;Miguel Á. González Ballester;Philippe Büchler;Nils Reimers;Lutz P. Nolte;Marius G. Linguraru;Mauricio Reyes
Affiliations:
ARTORG Center for Biomedical Engineering Research, University of Bern, Switzerland;Alma IT Systems, Barcelona, Spain;ARTORG Center for Biomedical Engineering Research, University of Bern, Switzerland;Stryker Trauma GmbH, Kiel, Germany;ARTORG Center for Biomedical Engineering Research, University of Bern, Switzerland;Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD;ARTORG Center for Biomedical Engineering Research, University of Bern, Switzerland
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

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Abstract

Currently in orthopedic research, bone shape variability within a specific population has been seldom investigated and used to optimise implant design, which is commonly performed by evaluating implant bone fitting on a limited dataset. In this paper, we extend our method for optimisation in statistical shape space, to global assessment of population-specific implant bone fitting. The method is based on a level set segmentation approach, used on the parametric space of the statistical shape model of the target population. The method highlights which patterns of bone variability are more important for implant fitting, allowing and easing implant design improvements. Results are presented for proximal human tibia.