scholarly journals Phase-contrast helium-3 MRI of aerosol deposition in human airways

2014 ◽  
Vol 28 (2) ◽  
pp. 180-187 ◽  
Author(s):  
Mathieu Sarracanie ◽  
Denis Grebenkov ◽  
Julien Sandeau ◽  
Soulé Coulibaly ◽  
Andrew R. Martin ◽  
...  
Keyword(s):  
Phase Contrast ◽  
Aerosol Deposition ◽  
Helium 3 ◽  
Human Airways

Aerosol deposition modeling in human airways and alveoli

2000 ◽  
Vol 31 ◽  
pp. 482-483 ◽  
Author(s):  
I BALASHAZY ◽  
I NEMETH ◽  
B ALFOLDY ◽  
P SZABO ◽  
C HEGEDS ◽  
...  
Keyword(s):  
Aerosol Deposition ◽  
Deposition Modeling ◽  
Human Airways

Aerosol deposition and airflow dynamics in healthy and asthmatic human airways during inhalation

2021 ◽  
pp. 125856
Author(s):  
Wei-Hsin Chen ◽  
Che-Ming Chang ◽  
Justus Kavita Mutuku ◽  
Su Shiung Lam ◽  
Wen-Jhy Lee
Keyword(s):  
Aerosol Deposition ◽  
Human Airways

Phase-contrast velocity mapping for highly diffusive fluids: Optimal bipolar gradient pulse parameters for hyperpolarized helium-3

2013 ◽  
Vol 72 (4) ◽  
pp. 1072-1078
Author(s):  
Lionel Martin ◽  
Xavier Maître ◽  
Ludovic de Rochefort ◽  
Mathieu Sarracanie ◽  
Marlies Friese ◽  
...  
Keyword(s):  
Phase Contrast ◽  
Velocity Mapping ◽  
Gradient Pulse ◽  
Pulse Parameters ◽  
Hyperpolarized Helium ◽  
Helium 3

scholarly journals Regional aerosol deposition in the human airways: The SimInhale benchmark case and a critical assessment of in silico methods

2018 ◽  
Vol 113 ◽  
pp. 77-94 ◽  
Author(s):  
P. Koullapis ◽  
S.C. Kassinos ◽  
J. Muela ◽  
C. Perez-Segarra ◽  
J. Rigola ◽  
...  
Keyword(s):  
In Silico ◽  
Aerosol Deposition ◽  
Critical Assessment ◽  
Human Airways ◽  
In Silico Methods

scholarly journals Risk Assessment of Infection by Airborne Droplets and Aerosols at Different Levels of Cardiovascular Activity

2021 ◽  
Author(s):  
Jana Wedel ◽  
Paul Steinmann ◽  
Mitja Štrakl ◽  
Matjaž Hriberšek ◽  
Jure Ravnik
Keyword(s):  
Particle Size ◽  
Particle Deposition ◽  
Control Strategies ◽  
Disease Onset ◽  
Aerosol Deposition ◽  
Size Distributions ◽  
Cardiovascular Activity ◽  
Particle Size Distributions ◽  
General Observation ◽  
Human Airways

AbstractSince end of 2019 the COVID-19 pandemic, caused by the SARS-CoV-2 virus, is threatening humanity. Despite the fact that various scientists across the globe try to shed a light on this new respiratory disease, it is not yet fully understood. Unlike many studies on the geographical spread of the pandemic, including the study of external transmission routes, this work focuses on droplet and aerosol transport and their deposition inside the human airways. For this purpose, a digital replica of the human airways is used and particle transport under various levels of cardiovascular activity in enclosed spaces is studied by means of computational fluid dynamics. The influence of the room size, where the activity takes place, and the aerosol concentration is studied. The contribution aims to assess the risk of various levels of exercising while inhaling infectious pathogens to gain further insights in the deposition behavior of aerosols in the human airways. The size distribution of the expiratory droplets or aerosols plays a crucial role for the disease onset and progression. As the size of the expiratory droplets and aerosols differs for various exhaling scenarios, reported experimental particle size distributions are taken into account when setting up the environmental conditions. To model the aerosol deposition we employ $$\text{OpenFOAM}$$ OpenFOAM  by using an Euler-Lagrangian frame including Reynolds-Averaged Navier–Stokes resolved turbulent flow. Within this study, the effects of different exercise levels and thus breathing rates as well as particle size distributions and room sizes are investigated to enable new insights into the local particle deposition in the human airway and virus loads. A general observation can be made that exercising at higher levels of activity is increasing the risk to develop a severe cause of the COVID-19 disease due to the increased aerosolized volume that reaches into the lower airways, thus the knowledge of the inhaled particle dynamics in the human airways at various exercising levels provides valuable information for infection control strategies.

Numerical Simulation Study on Airflow Structural Characteristics in Real Human Airways Model

2012 ◽  
Vol 184-185 ◽  
pp. 348-351 ◽  
Author(s):  
Dong Sun ◽  
Fu Sheng Li ◽  
Xin Xi Xu ◽  
Ya Jun Liu ◽  
Shu Lin Tan
Keyword(s):  
Cross Sections ◽  
High Speed ◽  
Structural Characteristics ◽  
Aerosol Deposition ◽  
Flow Speed ◽  
Front Wall ◽  
Light Activity ◽  
Level 3 ◽  
Air Speed ◽  
Human Airways

The transient airflow movement has tremendous effects on aerosol deposition in human airways． The understanding of the characteristics of the transient airflow movement in human airways plays a very important role in analyzing the aerosol deposition patterns．Computational fluid dynamics(CFD)was used to simulate the transient airflow movement in generations G1-G3 of real human airways model under light activity conditions，the transient airflow patterns in the middle plane and cross sections of the airways were discussed．The results showed that in the subglottic of jet of air in the trachea front wall is formed in the air, the air at around 9.96 m/s, in trachea rear form flow separation phenomenon, along with the increase of the distance with the subglottic, tracheal inside and outside wall airflow velocity difference gradually decreased, but before the trachea wall flow speed or to be higher than the back wall of the air speed; expiratory flow into the bronchial, endobronchial forming centre air in the air distribution of higher status, level 2 level 3 endobronchial air speed the most about 2.71 m/s,.In the bronchial bifurcate place, airflow happen intersection phenomenon, intersection cause at the center of the low speed area formed bifurcation, and join the level of airflow bronchial produce temporary two air at high speed.

scholarly journals Prediction of localized aerosol deposition in a realistic replica of human airways using experimental data and numerical simulation

2017 ◽  
Vol 143 ◽  
pp. 02067
Author(s):  
Frantisek Lizal ◽  
Jakub Elcner ◽  
Miloslav Belka ◽  
Jan Jedelsky ◽  
Miroslav Jicha
Keyword(s):  
Experimental Data ◽  
Numerical Simulation ◽  
Aerosol Deposition ◽  
Human Airways

Numerical Modeling of Inhaled Charged Aerosol Deposition in Human Airways

2004 ◽  
Vol 40 (5) ◽  
pp. 1239-1248 ◽  
Author(s):  
D. Koolpiruck ◽  
S. Prakoonwit ◽  
W. Balachandran
Keyword(s):  
Numerical Modeling ◽  
Aerosol Deposition ◽  
Charged Aerosol ◽  
Human Airways
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