Computational multiphysics modeling of radioactive aerosol deposition in diverse human respiratory tract geometries.

ABSTRACT: The evaluation of aerosol exposure relies on generic mathematical models that assume uniform particle deposition profiles over the human respiratory tract and do not account for subject-specific characteristics. Here we introduce a hybrid-automated computational workflow that generates personalized particle deposition profiles in 3D reconstructed human airways from computed tomography scans using Computational Fluid and Particle Dynamics simulations. This is the first large-scale study to consider realistic airways variability, where 380 lower and 40 upper human respiratory tract 3D geometries are reconstructed and parameterized. The data is clustered into nine groups using random forest regression. Computational fluid and particle dynamics simulations are conducted on these representative

SUBMITTER: Bartol IR 

PROVIDER: S-EPMC11530636 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature