Δημοσιεύσεις

Project Acronym: myAirCoach
Title: Analysis, modelling and sensing of both physiological and environmental factors for the customized and predictive self-management of Asthma
Affiliation: centre of research and technology hellas
Pi: Dimitrios Tzovaras
Research Field: physiology and medicine

Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes
by Lalas, Antonios and Nousias, Stavros and Kikidis, Dimitrios and Lalos, Aris and Arvanitis, Gerasimos and Sougles, Christos and Moustakas, Konstantinos and Votis, Konstantinos and Verbanck, Sylvia and Usmani, Omar and Tzovaras, Dimitrios
Abstract:
Chronic obstructive pulmonary disease (COPD) and asthma are considered as the two most widespread obstructive lung diseases, whereas they affect more than 500 million people worldwide. Unfortunately, the requirement for detailed geometric models of the lungs in combination with the increased computational resources needed for the simulation of the breathing did not allow great progress to be made in the past for the better understanding of inflammatory diseases of the airways through detailed modelling approaches. In this context, computational fluid dynamics (CFD) simulations accompanied by fluid particle tracing (FPT) analysis of the inhaled ambient particles are deemed critical for lung function assessment. Also they enable the understanding of particle depositions on the airways of patients, since these accumulations may affect or lead to inflammations. In this direction, the current study conducts an initial investigation for the better comprehension of particle deposition within the lungs. More specifically, accurate models of the airways obstructions that relate to pulmonary disease are developed and a thorough assessment of the airflow behavior together with identification of the effects of inhaled particle properties, such as size and density, is conducted. Our approach presents a first step towards an effective personalization of pulmonary treatment in regards to the geometric characteristics of the lungs and the in depth understanding of airflows within the airways.
Reference:
Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes (Lalas, Antonios and Nousias, Stavros and Kikidis, Dimitrios and Lalos, Aris and Arvanitis, Gerasimos and Sougles, Christos and Moustakas, Konstantinos and Votis, Konstantinos and Verbanck, Sylvia and Usmani, Omar and Tzovaras, Dimitrios), In BMC Medical Informatics and Decision Making, volume 17, 2017.
Bibtex Entry:
@article{Lalas2017,
 author = {Lalas, Antonios
		and Nousias, Stavros
		and Kikidis, Dimitrios
		and Lalos, Aris
		and Arvanitis, Gerasimos
		and Sougles, Christos
		and Moustakas, Konstantinos
		and Votis, Konstantinos
		and Verbanck, Sylvia
		and Usmani, Omar
		and Tzovaras, Dimitrios},
 title = {Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes},
 journal = {BMC Medical Informatics and Decision Making},
 year = {2017},
 bibyear = {2017},
 month = {Dec},
 day = {20},
 volume = {17},
 number = {3},
 pages = {173},
 abstract = {Chronic obstructive pulmonary disease (COPD) and asthma are considered as the two most widespread obstructive lung diseases, whereas they affect more than 500 million people worldwide. Unfortunately, the requirement for detailed geometric models of the lungs in combination with the increased computational resources needed for the simulation of the breathing did not allow great progress to be made in the past for the better understanding of inflammatory diseases of the airways through detailed modelling approaches. In this context, computational fluid dynamics (CFD) simulations accompanied by fluid particle tracing (FPT) analysis of the inhaled ambient particles are deemed critical for lung function assessment. Also they enable the understanding of particle depositions on the airways of patients, since these accumulations may affect or lead to inflammations. In this direction, the current study conducts an initial investigation for the better comprehension of particle deposition within the lungs. More specifically, accurate models of the airways obstructions that relate to pulmonary disease are developed and a thorough assessment of the airflow behavior together with identification of the effects of inhaled particle properties, such as size and density, is conducted. Our approach presents a first step towards an effective personalization of pulmonary treatment in regards to the geometric characteristics of the lungs and the in depth understanding of airflows within the airways.},
 issn = {1472-6947},
 doi = {10.1186/s12911-017-0561-y},
 url = {https://doi.org/10.1186/s12911-017-0561-y},
}