Airway mechanics in chronic lung disease : theory, simulation, and experiment

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Abstract/Contents

Abstract
Lung disease is the third leading cause of death in the United States and has an even higher fatality rate in countries with excessive pollution. Strikingly, pulmonary mechanics and airway obstruction remain drastically understudied. The airway is a living system, and its disease-driven adaptation induces remodeling of its geometry and material properties, resulting in airway occlusion. Utilizing computational simulations and experimental characterization of airway mechanical properties, this thesis seeks to confront clinically relevant questions pertaining to airway collapse in diseases such as asthma and bronchitis. The computational results - based on the theory of finite growth, solid mechanics, and nonlinear finite element analysis - rationalize medical observations and elucidate the complex phenomenon of airway obstruction. The complementary porcine tissue experiments address the pressing need for airway-specific material characterization to inform the biophysical response of the small bronchi, the predominant site of obstruction. This research will focus on highlighting the tightly connected, iterative computational-experimental nature of airway mechanics research to enable translational discoveries in the clinic through predictive modeling, advanced medical diagnostics, and optimized interventions in pulmonary healthcare.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2017
Issuance monographic
Language English

Creators/Contributors

Associated with Eskandari, Mona
Associated with Stanford University, Department of Mechanical Engineering.
Primary advisor Kuhl, Ellen
Thesis advisor Kuhl, Ellen
Thesis advisor Levenston, Marc Elliot
Thesis advisor Nelson, Drew
Advisor Levenston, Marc Elliot
Advisor Nelson, Drew

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Mona Eskandari.
Note Submitted to the Department of Mechanical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2017.
Location electronic resource

Access conditions

Copyright
© 2017 by Mona Eskandari

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