Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Three-Dimensional Analysis of Lung Structure and Its Application to Pulmonary Dosimetry Models (Chapter 6).
Author Mercer, R. R. ; Crapo, J. D. ;
CORP Author Duke Univ. Medical Center, Durham, NC. Center for Extrapolation Modelling.;Health Effects Research Lab., Research Triangle Park, NC. Environmental Toxicology Div.;Department of Energy, Washington, DC.
Publisher 1993
Year Published 1993
Report Number EPA-R813113 ;DE-FG05-88ER60654;
Stock Number PB94-139490
Additional Subjects Lung ; Anatomy ; Biological models ; Air pollution effects(Humans) ; Dosimetry ; Computer simulation ; Pulmonary alveoli ; Species diversity ; Biomechanics ; Algorithms ; Reprints ;
Library Call Number Additional Info Location Last
NTIS  PB94-139490 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 05/14/1994
Collation 34p
Data obtained from animal exposures may, if appropriately extrapolated, be used to quantitatively assess the health risks of humans chronically exposed to environmental airborne pollutants. The ability to make correct extrapolations is critical in making full use of the results of acute and chronic exposures in laboratory animals. Extrapolation of experimental results between different animal species requires several types of data, one of which is detailed data on the geometry of the lungs for each species in order to determine the quantity of pollutant that reacts (or is deposited) in the various anatomic regions (trachea, bronchi, bronchioles, terminal bronchioles, proximal alveolar and distal alveolar regions). The existing data on the geometry of the lungs is almost exclusively concerned with the geometry of the major airways. As least in part the focus of previous work on the major airways reflects the fact that they are the major determinant of airway resistance. Following the alveolar ducts as they branch out from the bronchiole-alveolar duct junction using serial lung sections is difficult. Advances in computer processing power have supplied the prodigious memory and appropriate algorithms to make the process of 3D reconstruction of the lung technically feasible to implement.