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dc.contributor.advisorHsieh, Adam Hen_US
dc.contributor.authorYew, Alvin Garwaien_US
dc.date.accessioned2008-08-07T05:30:29Z
dc.date.available2008-08-07T05:30:29Z
dc.date.issued2008-04-29en_US
dc.identifier.urihttp://hdl.handle.net/1903/8308
dc.description.abstractModels describing the impact of mechanical stimuli on bone fracture healing can be used to design improved fixation devices and optimize clinical treatment. Existing models however, are limited because they fail to consider the changing fracture callus morphology and probabilistic behavior of biological systems. To resolve these issues, the Equilibrium Geometry Theory (EGT) was conceptualized and when coupled with a mechanoregulation algorithm for differentiation, it provides a way to simulate cell processes at the fracture site. A three-dimensional, anisotropic random walk model with an adaptive finite element domain was developed for studying the entire course of fracture healing based on EGT fundamentals. Although a coarse cell dispersal lattice and finite element mesh were used for analyses, the computational platform provides exceptional latitude for visualizing the growth and remodeling of tissue. Preliminary parameter and sensitivity studies show that simulations can be fine-tuned for a wide variety of clinical and research applications.en_US
dc.format.extent6601568 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleThe Equilibrium Geometry Theory for Bone Fracture Healingen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentMechanical Engineeringen_US
dc.subject.pqcontrolledEngineering, Biomedicalen_US
dc.subject.pqcontrolledEngineering, Mechanicalen_US
dc.subject.pquncontrolledmechanobiologyen_US
dc.subject.pquncontrolledfinite elementen_US
dc.subject.pquncontrolledtissue differentiationen_US
dc.subject.pquncontrolledbone fracture healingen_US
dc.subject.pquncontrolledcell proliferationen_US
dc.subject.pquncontrolledrandom walken_US


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