Prediction of particle deposition in the respiratory track using 3D1D modeling

Airflow simulation of the whole respiratory system is still unfeasible due to the geometricalcomplexity of the lung airways and the diversity of the length scales involved in the problem. even the newct imaging system is not capable of providing accurate 3d geometries for smaller tubes, and a complete 3dsimulation is impeded by the limited computational resources available. the aim of this study is to developa fully coupled 3d1d model to make accurate prediction of airflow and particle deposition in the wholerespiratory track, with reasonable computational cost and efficiency. in the new proposed method, therespiratory tree is divided into three parts to be dealt with using different models. a three dimensionalmodel is used to compute the airflow in the upper part of the tree, while the distal part is studied usinga 1d model. a lumped model is also used for the acinar region. the three models are coupled together byimplementing the physical boundary conditions at the model interfaces. in the end, this multiscale modelis used to find the deposition pattern of particles within a sample lung.