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Related Concept Videos

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Regional terms describe anatomy by dividing the body parts into different regions that contain structures involved in contributing similar functions. Using these terms helps increase the accurate description and identification of the particular region of interest or region affected by the disease.
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Region of Convergence01:17

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The z-transform is a powerful mathematical tool used in the analysis of discrete-time signals and systems. It is a crucial tool in the analysis of discrete-time systems, but its convergence is limited to specific values of the complex variable z. This range of values, known as the Region of Convergence (ROC), is fundamental in determining the behavior and stability of a system or signal. The ROC defines the region in the complex plane where the z-transform converges, which can take various...
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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
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Related Experiment Video

Updated: Dec 12, 2025

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
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Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

Published on: November 11, 2020

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Regional Deposition: Deposition Models.

Werner Hofmann1

  • 1Department of Chemistry and Physics of Materials, University of Salzburg, Salzburg, Austria.

Journal of Aerosol Medicine and Pulmonary Drug Delivery
|August 8, 2020
PubMed
Summary
This summary is machine-generated.

Lung deposition models use lung morphology to predict how inhaled particles travel. Current models accurately forecast particle deposition trends across different lung regions and generations, aligning with experimental data.

Keywords:
deposition modelshuman lunginhalationregional deposition

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Area of Science:

  • Pulmonary medicine
  • Biophysics
  • Computational modeling

Background:

  • Accurate modeling of particle deposition in the human lung is crucial for effective medical aerosol administration.
  • Lung morphology, simplified as geometric units like cylindrical airways, is essential for these deposition models.

Purpose of the Study:

  • To review and discuss five distinct regional deposition models for the human lung.
  • To outline the capabilities of current deposition models in predicting various deposition quantities relevant to medical aerosols.

Main Methods:

  • Discussion of five morphometric lung models: trumpet, single-path, multiple-path (deterministic and stochastic), and computational fluid and particle dynamics (CFPD).
  • Analysis of mathematical modeling techniques applied to these lung morphometric models.

Main Results:

  • Current models can predict regional bronchial and alveolar deposition, generational lung deposition, lobar deposition, and generational surface deposition.
  • Despite variations in morphometric models and equations, all models show consistent trends in deposition fractions based on particle diameter and breathing parameters.

Conclusions:

  • The agreement between various deposition models and experimental evidence suggests current models accurately predict regional and generational particle deposition.
  • These validated models are valuable tools for understanding aerosol behavior in the respiratory system.