Date of Award

1-1-2013

Document Type

Thesis

Degree Name

M.S.

Department

Mechanical Engineering

First Advisor

Peter J. Laz

Keywords

Customized Implant, Finite Element Analysis, Kinematics Predictions, Knee Joint, Population-based Variability, Statistical Shape Model

Abstract

Prior statistical shape models have not considered multiple structures in the knee joint to characterize anatomic variation which are required to investigate joint mechanics further for the successful knee replacement. Accordingly, the study's objective was to develop statistical shape and alignment model (SSAM) to capture intersubject variability and demonstrate the ability to generate realistic instances for use in finite element analysis (FEA). SSAM described the variability in the training set of 20 subjects with a series of modes of variation obtained by performing principal component analysis (PCA). PCA produced modes of variation with the first 3 modes representing 70% and 10 modes representing 95% variability when only bones of the joint were studied. Modes were perturbed by ± 2ó and computational models of new virtual subjects were generated. FEA successfully confirmed the fidelity of the SSAM approach. The relationship between SSAM and function (motion) were investigated through the shape-function model. The framework can create new subject and predict the kinematic behavior. The approach can be an investigative tool to differentiate in the shape-function relation between healthy normal and pathologic groups.

Provenance

Recieved from ProQuest

Rights holder

Chandreshwar Rao

File size

93 p.

File format

application/pdf

Language

en

Discipline

Biomechanics, Mechanical engineering, Statistics

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