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Fluid-dynamic optimality in the generation-averaged length-to-diameter ratio of the human bronchial tree

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Abstract

It is shown in this paper that the nearly constant length-to-diameter ratio observed with conducting airways of human bronchial tree can be explained based on the fluid dynamic optimality principle. In any branched tube there are two pressure loss mechanisms, one for wall friction in the tube section and the other for flow division in the branching section, and there exists an optimal length-to-diameter ratio which minimizes the total pressure loss for a branched tube in laminar flow condition. The optimal length-to-diameter ratio predicted by the pressure loss minimization shows an excellent agreement with the length-to-diameter ratios found in the human conducting airways.

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Abbreviations

A :

cross sectional area

a :

constant

d :

tube diameter

F :

proportional constant between pressure loss coefficient and Reynolds number

K :

pressure loss coefficient

l :

tube length

n :

generation number

P :

pressure

ΔP :

pressure drop or loss

ΔP b :

pressure drop due to branching or flow division

ΔP s :

pressure drop due to wall friction

Q :

volumetric flow rate

Re :

Reynolds number, Vd

V :

flow velocity

μ:

dynamic viscosity

ν:

kinematic viscosity

ρ:

density

Θ:

branching angle

0:

mother branch

1:

major daughter branch

2:

minor daughter branch

References

  1. Dankelman J, Cornelissen AJ, Large J, VanBavel E, Spaan JA (2007) Relation between branching patterns and perfusion in stochastic generated coronary arterial trees. Med Biol Eng Comput 45:25–34

    Article  Google Scholar 

  2. Flaaris JJ, Volden M, Haase J, Ostergaard LR (2004) Method for modeling cerebral blood vessels and their bifurcations using circular, homogeneous, generalized cylinders. Med Biol Eng Comput 42:171–177

    Article  Google Scholar 

  3. Horsfield K, Cumming G (1967) Angles of branching and diameters of branches in the human bronchial tree. Bull Math Biophys 29:245–259

    Article  Google Scholar 

  4. Horsfield K, Cumming G (1968) Morphology of the bronchial tree in man. J Appl Physiol 24(3):373–383

    Google Scholar 

  5. Isaby D, Chang HK (1981) Steady and unsteady pressure flow relationships in central airways. J Appl Physiol 51:1338–1348

    Google Scholar 

  6. Ito H, Imai K (1973) Energy losses at 90 degree pipe junctions. Proc ASCE J Hydraulics Div 99:1353–1368

    Google Scholar 

  7. Jamison DK, Villemonte JR (1971) Junction losses in laminar and transitional flows. Proc ASCE J Hydraulics Div 97(HY7):1045–1063

    Google Scholar 

  8. Liu Y, So RMC, Zhang CH (2002) Modeling the bifurcating flow in a human lung airway. J Biomech 35:465–473

    Article  Google Scholar 

  9. Miller DS (1971) Internal flow. A guide to losses in pipe and duct systems. British Hydromechanics Research Association, Cranfield

    Google Scholar 

  10. Phalen RF, Yeh HC, Schum GM, Raabe OG (1978) Application of an idealized model to morphometry of the mammalian tracheobronchial tree. Anat Rec 190:167–176

    Article  Google Scholar 

  11. Phillips CG, Kaye SR, Schroter RC (1994) A diameter-based reconstruction of the branching pattern of the human bronchial tree. Respir Physiol 98:193–217

    Article  Google Scholar 

  12. Phillips CG, Kaye SR (1995) Diameter-based analysis of the branching geometry of four mammalian bronchial trees. Respir Physiol 102:303–316

    Article  Google Scholar 

  13. Rashevsky N (1960) Mathematical biophysics, vol 2, chapter XXVII. Dover Publications Inc., New York, pp 292–305

  14. Ward-Smith AJ (1980) Internal fluid flow the fluid dynamics of flow in pipes and ducts, Chapter J. Oxford University Press, New York

    Google Scholar 

  15. Weibel ER (1963) Morphometry of the human lung. Academic, New York

    Google Scholar 

  16. Zamir M (1976) Optimality principles in arterial branching. J Theor Biol 62:227–251

    Article  Google Scholar 

Download references

Acknowledgment

This work was supported by MOST(KOSEF) through Systems Bio-Dynamics Research Center.

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Correspondence to Jin W. Lee.

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Lee, J.W., Kang, M.Y., Yang, H.J. et al. Fluid-dynamic optimality in the generation-averaged length-to-diameter ratio of the human bronchial tree. Med Bio Eng Comput 45, 1071–1078 (2007). https://doi.org/10.1007/s11517-007-0232-8

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  • DOI: https://doi.org/10.1007/s11517-007-0232-8

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