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

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 statist...

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Bibliographic Details
Published in2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 883 - 886
Main Authors Kozic, N., Gonzalez Ballester, M.A., Buchler, P., Reimers, N., Nolte, L.P., Linguraru, M.G., Reyes, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Bones
Design optimization
Humans
image registration
implant fitting
Implants
Level set
level sets
Optimization methods
Orthopedic surgery
Performance evaluation
Principal component analysis
Shape
statistical shape models
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Summary: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.
ISBN:1424439310
9781424439317
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2009.5193194