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Applying a realistic novel ventilation model based on spatial expansion of acini in a stochastic lung

Dastanpour, R ; Sharif University of Technology

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  1. Type of Document: Article
  2. Abstract:
  3. In this paper, particle deposition in the upper airways and five lobes of a human lung is simulated. The simulation is based on a stochastic lung model, derived from detailed morphometric measurements. Pathways are simulated using Monte Carlo methods consequently the whole structure changes both stochastically and statistically in each simulation. In this investigation the termination phenomena is a function of each daughter's diameter which best satisfies the lung's morphometry. Complementary to the previous available assumptions, i.e. flow divisions according to the ratio of daughter's cross sections or distal volumes, in this investigation flow rates are computed in an upward manner starting from the acini (where suction occurs), following to trachea. Regional expansion and contraction coefficients of acinar airways are taken into account in the airow distribution analysis. Regional and total deposition fractions in the human respiratory system are computed by astochastic lung deposition model in a full breathing cycle. These fractions are computed in the upper airways as well as the above mentioned stochastic lung instead of a pre-defined lung structure. The effects of Brownian motion, inertial impaction and gravitational sedimentation are simulated in particle deposition analysis in respiratory airways using analytical equations
  4. Keywords:
  5. Acini expansion ; Monte Carlo modeling ; Spatial ventilation model ; Stochastic whole lung ; Biological organs ; Monte Carlo methods ; Respiratory system ; Stochastic systems ; Gravitational sedimentation ; Human respiratory system ; Monte Carlo model ; Morphometric measurements ; Particle depositions ; Total deposition fractions ; Ventilation model ; Stochastic models ; Brownian motion ; Deposition ; Monte Carlo analysis ; Morphometry ; Sedimentation ; Ventilation
  6. Source: Scientia Iranica ; Vol. 21, issue. 2 , 2014 , pp. 358-369 ; ISSN :10263098
  7. URL: http://www.scientiairanica.com/en/ManuscriptDetail?mid=285