Abstract
Multi-scale Computational Framework for Gas and Particle Transport in the Human Lung
Multi-scale Modeling (MSM) Consortium Meeting (Rockville, Maryland, 10/27/2010–10/28/2010)
08/2010
Abstract
Understanding the detail of flow in the pulmonary airways is prompted by two main areas of interest: particle transport, and the effect of airway abnormalities. The deposition of therapeutic or pollutant particles is dependent on the characteristics of the flow by which they are transported. The flow is, in turn, dependent on the geometry of the airways and how ventilation is distributed to the peripheral tissue. A better understanding of the structure-function (geometry-flow) relationship is the first critical step in designing particulates to target specific sites in the lung, or for studying which populations are most susceptible to inhaled pollutants. Thus, it is highly desirable to develop a model that is capable of predicting airflow and particle deposition in the subject-specific breathing lungs. In this presentation, I will talk about a comprehensive computational framework for pulmonary gas flow in the breathing human lung. This framework utilizes subject-specific airway geometries and employs a Computed Tomography (CT) data-driven, multi-stage approach to predict regional ventilation and gas transport through the entire moving airway tree. The major components of the system include: (1) an in-house 3D parallel ALE-enabled finite-element fluid-dynamics and solid-mechanics code; (2) automatic 3D-1D mesh generation; (3) direct-numerical simulation and large-eddy simulation techniques for transitional and turbulent flows in the human airways; (4) image-registration for deforming mesh. Some fluid dynamical phenomena and particle ventilation uniquely existing in the branching airway network will be presented and the prospect of linking the current mechanics model with cell model will be discussed.
Details
- Title: Subtitle
- Multi-scale Computational Framework for Gas and Particle Transport in the Human Lung
- Creators
- Ching-Long Lin - University of Iowa, Mechanical EngineeringJ CHOI - University of IowaH KumarY Yin - University of IowaMerryn H Tawhai - University of AucklandEric A Hoffman - University of Iowa, Radiology
- Resource Type
- Abstract
- Conference
- Multi-scale Modeling (MSM) Consortium Meeting (Rockville, Maryland, 10/27/2010–10/28/2010)
- Comment
- Conference poster
- Language
- English
- Date presented
- 10/2010
- Date published
- 08/2010
- Academic Unit
- Mechanical Engineering; Radiology; Roy J. Carver Department of Biomedical Engineering; Internal Medicine
- Record Identifier
- 9984573059802771
Metrics
3 Record Views