Forward Computational Modeling of Respiratory Airflow
Emmanuel A Akor, Bing Han, Mingchao Cai, Ching-Long Lin, David W Kaczka · 2024
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Description
Emmanuel Akor and co-authors review computer modeling of airflow in the human lung, in a review paper from 2024. Fluid dynamics simulations let researchers test ideas about breathing, lung stretch, and drug particle landing without risky experiments on patients. The review covers how such models are built and where they fall short.
Model airways come in two kinds: math-built trees and patient-specific trees traced from scans, which give more personal results. The authors explain the boundary conditions that must be set at inlets, outlets, and walls. They compare what each model type predicts against real gas flow in lungs. Uses span healthy and diseased lungs, treatment planning, and change across the life span.
Catalog record
| CREATOR | Emmanuel A Akor, Bing Han, Mingchao Cai, Ching-Long Lin, David W Kaczka |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 56 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |