2020
DOI: 10.1002/cnm.3324
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Anthropometry‐based generation of personalized and population‐specific human airway models

Abstract: Understanding aerosol deposition in the human lung is of great significance in pulmonary toxicology and inhalation pharmacology. Adverse effects of inhaled environmental aerosols and pharmacological efficacy of inhaled therapeutics are dependent on aerosol properties as well as person-specific respiratory tract anatomy and physiology. Anatomical geometry and physiological function of human airways depend on age, gender, weight, fitness, health, and disease status. Tools for the generation of the population-and… Show more

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Cited by 4 publications
(2 citation statements)
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“…The MPPD model is chosen when a whole or deep airway aerosol simulation is needed. Feng et al 12 and Kannan, et al 49 reported that lung geometries are found to be different in each individual and the difference critically affects the dynamics of aerosols in the airway. We developed a model with a geometry from one individual; therefore, the use of multiple geometries in the model would strengthen model reliability.…”
Section: Resultsmentioning
confidence: 99%
“…The MPPD model is chosen when a whole or deep airway aerosol simulation is needed. Feng et al 12 and Kannan, et al 49 reported that lung geometries are found to be different in each individual and the difference critically affects the dynamics of aerosols in the airway. We developed a model with a geometry from one individual; therefore, the use of multiple geometries in the model would strengthen model reliability.…”
Section: Resultsmentioning
confidence: 99%
“…Kannan et al . (Kannan et al ., 2017a , 2020 ; Kannan & Andrzej, 2020 ) have developed a wire/tube model to solve such problems. The major advantage of this approach is the ease of model setup, high computational speed, simple visualization of results, and an easy link to compact models such as spring/mass/damper devices, valves, pumps, controllers, and 0D compartmental models.…”
Section: Methodsmentioning
confidence: 99%