Abstract
Hyper-realistic lung model for quantitative CT and CFD-based lung assessment of personalized exposure to air pollution
Bulletin of the American Physical Society
Annual Meeting of the APS Division of Fluid Dynamics, 73rd (11/22/2020 - 11/24/2020)
11/2020
Abstract
We propose a hyper-realistic lung model for personalized assessment of lung exposure to air pollution, based on inspiratory and expiratory computed tomography (CT) images, computational fluid dynamics (CFD) simulations, and individual exposure measurement. We collected inspiratory and expiratory chest CTs, pulmonary function test (PFT) data, and personal air pollution exposure measurements from 200 subjects, to date, with healthy, asthma, chronic obstructive pulmonary disease (COPD), and interstitial pulmonary fibrosis (IPF) lungs. We first apply exposure amount of particulate matters (PMs) to an individual, by five standard size ranges, PM1, PM2.5, PM4, PM10, and total suspended particles (TSP). Then, a PFT-based personalized tidal breathing pattern at the mouth and regional ventilation based on inspiration-expiration CT image matching with the compliance lung model provides realistic prediction of cumulative inhalation of PMs at different size ranges. Large eddy simulations (LES) and particle transport simulations resolve regional lung distribution of PMs throughout the entire conducting airways. The proposed model associates regional particle deposition hot spots with disease-specific structural and functional alteration associated with particulate air pollutions.
Details
- Title: Subtitle
- Hyper-realistic lung model for quantitative CT and CFD-based lung assessment of personalized exposure to air pollution
- Creators
- Jiwoong Choi - University of KansasIn Kyu Lee - University of KansasWoncheol Chung - Seoul National University HospitalKyoung Nam Kim - Seoul National University HospitalChang-Hoon Lee - Seoul National University HospitalPrathish K Rajaraman - University of Iowa, IIHR--Hydroscience and EngineeringChing-Long Lin - University of Iowa, Mechanical EngineeringChang Hyun Lee - Seoul National University Hospital
- Resource Type
- Abstract
- Publication Details
- Bulletin of the American Physical Society
- Conference
- Annual Meeting of the APS Division of Fluid Dynamics, 73rd (11/22/2020 - 11/24/2020)
- ISSN
- 0003-0503
- Language
- English
- Date published
- 11/2020
- Academic Unit
- Mechanical Engineering; Radiology; Roy J. Carver Department of Biomedical Engineering; IIHR--Hydroscience and Engineering
- Record Identifier
- 9984564944802771
Metrics
1 Record Views