Science Inventory

Computational 3-D Model of the Human Respiratory System

Citation:

Rosati, J., R. Burton, R. McCauley, AND W. Tang. Computational 3-D Model of the Human Respiratory System. Presented at ISAM, Munich, GERMANY, May 30 - June 02, 2015.

Impact/Purpose:

The model will provide the ability to study susceptible populations (elderly, children, diseased), as well as allow the study of toxic contaminants of concern (anthrax, ricin) - providing predictive data where it is currently lacking.

Description:

We are developing a comprehensive, morphologically-realistic computational model of the human respiratory system that can be used to study the inhalation, deposition, and clearance of contaminants, while being adaptable for age, race, gender, and health/disease status. The model includes the nasal, oral, pharyngeal, and laryngeal passages (extrathoracic region), the trachea and main bronchi (upper airways), the tracheobronchial tree, and branching networks through the alveolar region, allowing for nearly any variation of airway geometries and disease status to be studied. The model will provide the ability to study susceptible populations (elderly, children, diseased), as well as allow the study of toxic contaminants of concern (anthrax, ricin) - providing predictive data where it is currently lacking.Using de-identified male and female CT data from Pacific Northwest National Labs (PNNL), models have been developed from the nares through the 8th generation in the lung. Custom software which maintains physiological realism of the human data extends the current model to the 23rd generation. The model is capable of steady state nasal or oral inhalation/exhalation, and particle deposition, and is being modified for dynamic movement of internal lung surfaces while tracking particle inhalation, deposition, and exhalation. Internal nasal and oral structures are modifiable to match facial characteristics. Incorporation of mucociliary action and clearance mechanisms is planned for next year.

URLs/Downloads:

ISAM 2015 COMPUTATIONAL 3DV3 .PDF   (PDF,NA pp, 65.795 KB,  about PDF)

Record Details:

Record Type: DOCUMENT (PRESENTATION/ABSTRACT)
Product Published Date: 06/02/2015
Record Last Revised: 07/21/2016
OMB Category: Other
Record ID: 318951

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL RISK MANAGEMENT RESEARCH LABORATORY

AIR POLLUTION PREVENTION AND CONTROL DIVISION

AIR POLLUTION TECHNOLOGY BRANCH