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Three-dimensional inspiratory flow in the upper and central human airways

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Abstract

The steady inspiratory flow through an anatomically accurate model of the human airways was studied experimentally at a regime relevant to deep inspiration for aerosol drug delivery. Magnetic resonance velocimetry was used to obtain the three-component, mean velocity field. A strong, single-sided streamwise swirl was found in the trachea and persists up to the first bifurcation. There, the swirl and the asymmetric anatomy impact both the streamwise momentum distribution and the secondary flows in the main bronchi, with large differences compared to what is found in idealized branching tubes. In further generations, the streamwise velocity never recovers a symmetric profile and the relative intensity of the secondary flows remains strong. Overall, the results suggest that, in real human airways, both streamwise dispersion (due to streamwise gradients) and lateral dispersion (due to secondary flows) are very effective transport mechanisms. Neglecting the extrathoracic airways and idealizing the bronchial tree may lead to qualitatively different conclusions.

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References

  • Ball C, Uddin M, Pollard A (2008) High resolution turbulence modeling of airflow in an idealized human extrathoracic airway. Comput Fluids 37:943–964

    Article  MATH  Google Scholar 

  • Briant J, Cohen B (1989) Flow distribution through human and canine airways during inhalation and exhalation. J Appl Phys 67:1649–1654

    Google Scholar 

  • Brouns M, Verbanck S, Lacor C (2007) Influence of glottic aperture on the tracheal flow. J Biomech 40:165–172

    Article  Google Scholar 

  • Chang H, Menon A (1985) Airflow dynamics in the human airways. In: Aerosol in medicine: principles, diagnosis and therapy. Elsevier, Amsterdam, pp 75–112

  • Choi J, Tawhai M, Hoffman E, Lin C (2009) On intra-and intersubject variabilities of airflow in the human lungs. Phys Fluids 21(101):901

    Google Scholar 

  • Cohen B, Sussman R, Lippmann M (1993) Factors affecting distribution of airflow in a human tracheobronchial cast. Respir Physiol 93:261–278

    Article  Google Scholar 

  • Comer J, Kleinstreuer C, Zhang Z (2001) Flow structures and particle deposition patterns in double-bifurcation airway models. Part 1: air flow fields. J Fluid Mech 435:25–54

    MATH  Google Scholar 

  • de Rochefort L, Vial L, Fodil R, Maitre X, Louis B et al (2007) In vitro validation of computational fluid dynamic simulation in human proximal airways with hyperpolarized \(^{3}\text{He}\) magnetic resonance phase-contrast velocimetry. J Appl Phys 102:2012–2023

    Google Scholar 

  • Elkins C, Alley M (2007) Magnetic resonance velocimetry: applications of magnetic resonance imaging in the measurement of fluid motion. Exp Fluids 43:823–858

    Article  Google Scholar 

  • Fresconi F, Prasad A (2007) Secondary velocity fields in the conducting airways of the human lung. J Biomech Eng Trans ASME 129:722–732

    Article  Google Scholar 

  • Golshahi L, Finlay W (2009) Recent advances in understanding gas and aerosol transport in the lungs: application to predictions of regional deposition. Adv Transp Phenom 1:1–30

    Google Scholar 

  • Grosse S, Schroder W, Klaas M, Klockner A, Roggenkamp J (2007) Time resolved analysis of steady and oscillating flow in the upper human airways. Exp Fluids 42:955–970

    Article  Google Scholar 

  • Grotberg J (1994) Pulmonary flow and transport phenomena. Annu Rev Fluid Mech 26:529–571

    Article  Google Scholar 

  • Heenan A, Matida E, Pollard A, Finlay W (2003) Experimental measurements and computational modeling of the flow field in an idealized human oropharynx. Exp Fluids 35:70–84

    Article  Google Scholar 

  • Hindle M, Byron P (1995) Dose emissions from marketed dry powder inhalers. Int J Pharm 116:169–177

    Article  Google Scholar 

  • Horsfield K, Dart G, Olso D, Filley G, Cumming G (1971) Models of the human bronchial tree. J Appl Physiol 31:207–217

    Google Scholar 

  • Hughes J, Hoppin F Jr, Mead J (1972) Effect of lung inflation on bronchial length and diameter in excised lungs. J Appl Phys 32:25–35

    Google Scholar 

  • Isabey D (1982) Steady and pulsatile flow distribution in a multiple branching network with physiological applications. J Biomech 15:395–404

    Article  Google Scholar 

  • Jeong J, Hussain F (1995) On the identification of a vortex. J Fluid Mech 285:69–94

    Article  MATH  MathSciNet  Google Scholar 

  • Johnstone A, Uddin M, Pollard A, Heenan A, Finlay W (2004) The flow inside an idealized form of the human extrathoracic airway. Exp Fluids 37:673–689

    Article  Google Scholar 

  • Kabilan S, Lin C, Hoffman E (2007) Characteristics of airflow in a CT-based ovine lung: a numerical study. J Appl Phys 102:1469–1482

    Google Scholar 

  • Kleinsteuer C, Zhang Z (2010) Airflow and particle transport in the human respiratory system. Annu Rev Fluid Mech 42:301–334

    Article  Google Scholar 

  • Li Z, Kleinstreuer C, Zhang Z (2007b) Simulation of airflow fields and microparticle deposition in realistic human lung airway models. Part \(1\): airflow patterns. Eur J Mech B Fluids 26:632–649

    Article  MATH  Google Scholar 

  • Lin C, Tawhai M, McLennan G, Hoffman E (2007) Characteristics of the turbulent laryngeal jet and its effect on airflow in the human intrathoracic airways. Respir Physiol Neurobiol 157:295–309

    Article  Google Scholar 

  • Longest P, Holbrook L (2012) In silico models of aerosol delivery to the respiratory tract—development and applications. Adv Drug Deliv Rev 64:296–311

    Article  Google Scholar 

  • Longest P, Xi J (2007) Computational investigation of particle inertia effects on submicron aerosol deposition in the respiratory tract. J Aerosol Sci 38:111–130

    Article  Google Scholar 

  • Nithiarasu P, Hassan O, Morgan K, Weatherill N, Fielder C et al (2008) Steady flow through a realistic human upper airway geometry. Int J Numer Methods Fluids 57:631–651

    Article  MATH  MathSciNet  Google Scholar 

  • Padilla A (2012) The effect of upstream perturbations on 3D annular diffusers. PhD thesis, Stanford University

  • Pedley T (1977) Pulmonary fluid dynamics. Annu Rev Fluid Mech 9:229–274

    Article  Google Scholar 

  • Pelc N, Sommer F, Li K, Brosnan T, Herfkens R et al (1994) Quantitative magnetic resonance flow imaging. Magn Reson Q 10:125–147

    Google Scholar 

  • Shinneeb A, Pollard A (2012) Investigation of the flow physics in the human pharynx/larynx region. Exp Fluids 53:989–1003

    Article  Google Scholar 

  • Soodt T, Pott D, Klaas M, Schroeder W (2013) Analysis of basic flow regimes in a human airway model by stereo-scanning PIV. Exp Fluids 54:1–10

    Article  Google Scholar 

  • Stapleton K, Guentsch E, Hoskinson M, Finlay W (2000) On the suitability of \(k\)\(\epsilon\) modelling for aerosol deposition in the mouth and throat: a comparison with experiment. J Aerosol Sci 31:739–749

    Article  Google Scholar 

  • Tang C, Blatter D, Parker D (1993) Accuracy of phase-contrast flow measurements in the presence of partial-volume effects. JMRI 3:377–385

    Article  Google Scholar 

  • Theunissen R, Riethmuller M (2008) Particle image velocimetry in lung bifurcation models. In: Schroeder A, Willert C (eds) Particle image velocimetry: new developments and recent applications. Springer, Berlin, pp 73–101

    Chapter  Google Scholar 

  • Thornton S, Marion J (2004) Classical dynamics of particles and systems. Brooks/Cole, Belmont, California

  • Wall W, Rabczuk T (2008) Fluid–structure interaction in lower airways of CT-based lung geometries. Int J Numer Methods Fluids 57:653–675

    Article  MATH  MathSciNet  Google Scholar 

  • Weibel E (1963) Morphometry of the human lung. Academic Press, New York

    Book  Google Scholar 

  • Yin Y, Choi J, Hoffman E, Tawhai M, Lin C (2013) A multiscale MDCT image-based breathing lung model with time-varying regional ventilation. J Comput Phys 244:168–192

    Article  MathSciNet  Google Scholar 

  • Zhang Z, Kleinstreuer C (2002) Transient airflow structures and particle transport in a sequentially branching lung airway model. Phys Fluids 14:862–880

    Article  Google Scholar 

  • Zhang Z, Kleinstreuer C (2004) Airflow structures and nano-particle deposition in a human upper airway. J Comput Phys 198:178–210

    Article  MATH  Google Scholar 

  • Zhang Z, Kleinstreuer C, Hyun S (2012) Size-change and deposition of conventional and composite cigarette smoke particles during inhalation in a subject-specific airway model. J Aerosol Sci 46:34–52

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported in part by the US Army Research Laboratory, through the Army High Performance Computing Research Center, Cooperative Agreement W911NF-07-0027. Clement Kleinstreuer (North Carolina State University) kindly provided the segmented model of the subject-specific airways. We are thankful to Gianluca Iaccarino (Stanford, Mechanical Engineering), Eric Shaqfeh and Jorge Bernate (Stanford, Chemical Engineering), Carlos Milla and Peter Kao (Stanford, Pulmonary Medicine), Kevin Stapleton (Allergan Corp, Mountain View, CA), and Clement Kleinstreuer for their valuable insight during several fruitful discussions.

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Correspondence to A. J. Banko.

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Banko, A.J., Coletti, F., Schiavazzi, D. et al. Three-dimensional inspiratory flow in the upper and central human airways. Exp Fluids 56, 117 (2015). https://doi.org/10.1007/s00348-015-1966-y

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  • DOI: https://doi.org/10.1007/s00348-015-1966-y

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