Annals of Biomedical Engineering

, Volume 46, Issue 3, pp 498–512 | Cite as

Airflow Simulations in Infant, Child, and Adult Pulmonary Conducting Airways

  • Jessica M. Oakes
  • Steven C. Roth
  • Shawn C. Shadden
Article

Abstract

The airway structure continuously evolves from birth to adulthood, influencing airflow dynamics and respiratory mechanics. We currently know very little about how airflow patterns change throughout early life and its impact on airway resistance, namely because of experimental limitations. To uncover differences in respiratory dynamics between age groups, we performed subject-specific airflow simulations in an infant, child, and adult conducting airways. Airflow throughout the respiration cycle was calculated by coupling image-based models of the conducting airways to the global respiratory mechanics, where flow was driven by a pressure differential. Trachea diameter was 19, 9, and 4.5 mm for the adult (36 years, female), child (6 years, male), and infant (0.25 years, female), respectively. Mean Reynolds number within the trachea was nearly the same for each subject (1100) and Womersley number was above unity for all three subjects and largest for the adult, highlighting the significance of transient effects. In general, air speeds and airway resistances within the conducting airways were inversely correlated with age; the 3D pressure drop was highest in the infant model. These simulations provide new insight into age-dependent flow dynamics throughout the respiration cycle within subject-specific airways.

Keywords

Computational fluid dynamics (CFD) Multi-scale Lung Inspiration and expiration 

Notes

Acknowledgments

This work was supported by an ALA Senior Research Training Grant and a University of California Presidential Postdoctoral Fellowship (J. M. Oakes). The authors would like to thank Dr. Jeff Feinstein at Stanford University for providing the thoracic CT images and examining the resulting 3D airway geometries. In addition, we would like to thank Dr. Weiguang Yang for assisting with the CT images and Adam Updegrove for providing modeling expertise. The authors acknowledge the Information Technology Services, Research Computing at Northeastern University for providing high performance computing resources.

Conflict of interest

The authors have no conflict of interest related to the work presented in this manuscript.

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Copyright information

© Biomedical Engineering Society 2017

Authors and Affiliations

  1. 1.Department of BioengineeringNortheastern UniversityBostonUSA
  2. 2.Department of Mechanical EngineeringUniversity of California, BerkeleyBerkeleyUSA

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