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Title page for ETD etd-10282009-112815


Type of Document Master's Thesis
Author Weis, Jared Anthony
Author's Email Address jared.a.weis@vanderbilt.edu
URN etd-10282009-112815
Title A finite element inverse analysis to assess functional improvement during the fracture healing process
Degree Master of Science
Department Biomedical Engineering
Advisory Committee
Advisor Name Title
Michael I. Miga Committee Member
Robert J. Roselli Committee Member
Keywords
  • Fracture healing
  • Biomechanical testing
  • Finite element analysis
  • Material properties
  • Micro-CT
Date of Defense 2009-10-28
Availability unrestricted
Abstract
Assessment of the restoration of load-bearing function is the central goal in the study of fracture healing process. During the fracture healing, two critical aspects affect its analysis: (1) material properties of the callus components, and (2) the spatio-temporal architecture of the callus with respect to cartilage and new bone formation. In this study, an inverse problem methodology is used which takes into account both features and yields material property estimates that can analyze the healing changes. Six stabilized fractured mouse tibias are obtained at two time points during the most active phase of the healing process, respectively 10 days (n=3), and 14 days (n=3) after fracture. Under the same displacement conditions, the inverse procedure estimations of the callus material properties are generated and compared to other fracture healing metrics. The FEA estimated property is the only metric shown to be statistically significant (p=0.0194) in detecting the changes in the stiffness that occur during the healing time points. In addition, simulation studies regarding sensitivity to initial guess and noise are presented, as well as the influence of callus architecture on the FEA estimated material property metric. The finite element model inverse analysis developed can be used to determine the effects of genetics or therapeutic manipulations on fracture healing in rodents.
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