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PNNL-13501 - Pacific Northwest National Laboratory

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other particulate defense systems to describe the overall<br />

fate of matter and further refine the definition of dose to<br />

the target cells.<br />

Current, state-of-the-art dosimetry models, such as the<br />

ICRP lung model (ICRP 1994) and the multiple path<br />

particle deposition model (Anjilvel and Asgharian 1995;<br />

Asgharian and Anjilvel 1998), are either empirical, do not<br />

incorporate various clearance mechanisms, or are not<br />

amenable to inclusion of altered lung function in<br />

potentially sensitive human populations. These models<br />

are, therefore, limited in their ability to extrapolate<br />

beyond the experimental conditions from which the<br />

models were based. The only modeling approaches that<br />

can function reliably under a variety of exposure<br />

scenarios are those that are developed with a strong<br />

biological basis for the model structure. The goal for this<br />

project is to develop and experimentally validate a threedimensional,<br />

biologically based model of the respiratory<br />

tract (virtual respiratory tract) capable of quantitating<br />

dosimetry, clearance, and biological response in both<br />

normal and compromised mammalian systems following<br />

exposure to complex particulate matter. To accomplish<br />

this goal, advancements were necessary in constructing<br />

three-dimensional grid structures of the respiratory tract<br />

and the development of new tools for imaging the<br />

structure of the lung and to quantitate particles in specific<br />

regions of the respiratory tract.<br />

Approach<br />

The project involved three, integrated thrust areas:<br />

1) virtual lung model development and simulation,<br />

2) NMR imaging of particulate matter and lung<br />

morphometrics, and 3) in vivo/in vitro model<br />

parameterization and validation studies.<br />

Results and Accomplishments<br />

Virtual Lung Model Development<br />

An initial mathematical model was developed to establish<br />

the computational requirements for the three-dimensional<br />

models and to provide a backbone for overlaying a threedimensional<br />

grid structure. Due to the high<br />

computational requirements, the NW Phys/NW Grid<br />

software was modified to operate on the massively<br />

parrallel computer in EMSL. A three-dimensional grid<br />

structure of the human lung (Figure 1), detailed to the<br />

level of the terminal bronchiolar region (about 2 16<br />

generations of airways), was developed using available<br />

data. The alveolar region was structured using a simple<br />

286 FY 2000 <strong>Laboratory</strong> Directed Research and Development Annual Report<br />

Figure 1. A three-dimensional grid structure for the human<br />

trachea and lung using NWGrid generation code<br />

grid geometry to approximate the shapes of pulmonary<br />

acini. This model was subsequently modified to include<br />

visco-elasticity for expansion and contraction of airways<br />

and linked with a computational fluid model for airflows<br />

associated with inhalation and exhalation (Figure 2) and<br />

particle movement within the airways. The lung model<br />

was encased in a three-dimensional chest cavity with a<br />

diaphragm and chest expansion to drive inhalation and<br />

exhalation in the lungs (Figure 3). A particle deposition<br />

model (Anjilvel and Asgharian 1995) was obtained to<br />

compare simulations of the regional dosimetry (upper<br />

respiratory tract, bronchiolar and alveolar regions) in rats<br />

and humans with those predicted by the virtual lung<br />

model. Grid structures and original morphometric data<br />

for the upper respiratory tract were also obtained from<br />

Dr. Julie Kimbell (Chemical Industry Institute of<br />

Toxicology), a collaborator on the project to complete<br />

the description of the entire respiratory tract.<br />

Figure 2. Contour plot of airflows determined by a<br />

computational fluid dynamics model through the terminal<br />

bronchiole region of the human lung using NWPhys code

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