The model links airway geometry, tissue mechanics, blood perfusion, and oxygen or carbon dioxide transport within one organ-wide framework. This connection allows a localized change, such as altered airway structure or tissue behavior, to be examined in relation to breathing, pressure, gas exchange, and broader lung performance rather than as an isolated regional event.
Airway geometry helps determine how airflow moves through the lung, while tissue mechanics represents how lung structures respond during breathing. Together, they help the model relate anatomical organization to airflow and pressure. Including both features makes it possible to study how structural or mechanical changes may influence function across the entire organ.
Blood perfusion and oxygen or carbon dioxide transport extend the analysis beyond airflow alone. Perfusion represents the blood-flow component of lung function, while gas transport addresses exchange involving respiratory gases. Combining these processes helps connect ventilation-related behavior with organ-wide gas exchange, providing a more complete physiological picture under defined model conditions.
Imaging data can provide information about lung anatomy, including airway geometry, while mathematical equations represent processes such as airflow, pressure, tissue mechanics, perfusion, and gas transport. These elements are integrated into a computational or physical representation and evaluated under defined conditions, allowing researchers to examine predicted respiratory behavior systematically.
A typical workflow begins by assembling a representation of lung anatomy, often using imaging data, and then incorporating equations for airflow, pressure, tissue mechanics, perfusion, and gas transport. Researchers define the conditions to be studied, run the computational or physical model, and examine how the simulated lung responds. The resulting patterns support organ-level interpretation.
Medical researchers can apply these models to investigate asthma, chronic obstructive pulmonary disease, acute respiratory distress, and other disorders. The approach helps relate disease-associated changes to whole-lung function and may inform ventilator settings or treatment planning. It also supports development of respiratory research tools designed to represent disease responses more predictively.