Numerical Assessment of Airflow and Inhaled Particles Attributes in Obstructed Pulmonary System

Antonios Lalas, Stauros Nousias, Dimitrios Kikidis, Aris Lalos, Konstantinos Moustakas, Konstantinos Votis, Sylvia Verbanck, Omar Usmani, Dimitrios Tzovaras

Geometry contraction algorithms are introduced in this work to implement the diverse respiratory configurations of lung related diseases associated with airways obstructions. In addition, computational fluid dynamics (CFD) techniques along with fluid particle tracing (FPT) methods are utilized to efficiently evaluate the behavior of the airflow during the inhalation period, as well as to clarify the features of the inhaled particles in terms of regional deposition. Useful deductions are drawn regarding personalized medication in obstructed conditions.

Citation

Antonios Lalas, Stauros Nousias, Dimitrios Kikidis, Aris Lalos, Konstantinos Moustakas, Konstantinos Votis, Sylvia Verbanck, Omar Usmani, Dimitrios Tzovaras. "Numerical Assessment of Airflow and Inhaled Particles Attributes in Obstructed Pulmonary System". In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine. Shenzhen, China, December 15-18 , 2016