Applying a realistic novel ventilation model based onspatial expansion of acini in a stochastic lung

In this paper, particle deposition in the upper airways and ve lobes of a human lung is simulated. The simulation is based on a stochastic lung model, derived from detailed morphometric measurements. Pathways are simulated using Monte Carlo methods; consequently the whole structure changes both stochastically and statistically in each simulation. In this investigation the termination phenomena is a function of each daughterʹs diameter which best satises the lungʹs morphometry. Complementary to the previous available assumptions, i.e. ow divisions according to the ratio of daughterʹs cross sections or distal volumes, in this investigation ow rates are computed in an upward manner starting from the acini (where suction occurs), following to trachea. Regional expansion and contraction coecients of acinar airways are taken into account in the air ow distribution analysis. Regional and total deposition fractions in the human respiratory system are computed by astochastic lung deposition model in a full breathing cycle. These fractions are computed in the upper airways as well as the above mentioned stochastic lung instead of a pre-dened lung structure. The eects of Brownian motion, inertial impaction and gravitational sedimentation are simulated in particle deposition analysis in respiratory airways using analytical equations.