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2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2016)
Shenzhen, China
Dec. 15, 2016 to Dec. 18, 2016
ISBN: 978-1-5090-1612-9
pp: 606-612
A. Lalas , Information Technologies Institute, Centre for Research and Technology - Hellas (CERTH), Thessaloniki, Greece
D. Kikidis , Information Technologies Institute, Centre for Research and Technology - Hellas (CERTH), Thessaloniki, Greece
K. Votis , Information Technologies Institute, Centre for Research and Technology - Hellas (CERTH), Thessaloniki, Greece
D. Tzovaras , Information Technologies Institute, Centre for Research and Technology - Hellas (CERTH), Thessaloniki, Greece
S. Verbanck , Respiratory Division, University Hospital UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
S. Nousias , Department of Electrical and Computer Engineering, University of Patras, Patra, Greece
A. Lalos , Department of Electrical and Computer Engineering, University of Patras, Patra, Greece
K. Moustakas , Department of Electrical and Computer Engineering, University of Patras, Patra, Greece
O. Usmani , National Heart and Lung Institute (NHLI), Imperial College London and Royal Brompton Hospital, United Kingdom
ABSTRACT
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.
INDEX TERMS
Lungs, Atmospheric modeling, Geometry, Computational modeling, Mathematical model, Diseases, Computational fluid dynamics
CITATION

A. Lalas et al., "Numerical assessment of airflow and inhaled particles attributes in obstructed pulmonary system," 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen, China, 2016, pp. 606-612.
doi:10.1109/BIBM.2016.7822588
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