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Experimental study of aortic flow in the ascending aorta via Particle Tracking Velocimetry

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Abstract

A three-dimensional, pulsatile flow in a realistic phantom of a human ascending aorta with compliant walls is investigated in vitro. Three-Dimensional Particle Tracking Velocimetry (3D-PTV), an image-based, non-intrusive measuring method is used to analyze the aortic flow. The flow velocities and the turbulent fluctuations are determined. The velocity profile at the inlet of the ascending aorta is relatively flat with a skewed profile toward the inner aortic wall in the early systole. In the diastolic phase, a bidirectional flow is observed with a pronounced retrograde flow developing along the inner aortic wall, whereas the antegrade flow migrates toward the outer wall of the aorta. The spatial and temporal evolution of the vorticity field shows that the vortices begin developing along the inner wall during the deceleration phase and attenuate in the diastolic phase. The change in the cross-sectional area is more distinct distal to the inlet cross section. The mean kinetic energy is maximal in the peak systole, whereas the turbulent kinetic energy increases in the deceleration phase and reaches a maximum in the beginning of the diastolic phase. Finally, in a Lagrangian analysis, the temporal evolution of particle dispersion was studied. It shows that the dispersion is higher in the deceleration phase and in the beginning of the diastole, whereas in systole, it is smaller but non-negligible.

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References

  • Balducci A, Grigioni M, Querzoli G, Romano GP, Aniele CD, D’Avenio G, Barbaro V (2004) Investigation of the flow field downstream of an artificial heart valve by means of PIV and PTV. Exp Fluids 36:204–213

    Article  Google Scholar 

  • Belz GG (1995) Elastic properties and Windkessel function of the human aorta. Cardiovasc Drugs Ther 9(1):73–83

    Article  Google Scholar 

  • Blake J, Easson W, Hoskins P (2009) A dualphantom system for validation of velocity measurements in stenosis model under steady flow. Ultrasound Med Biol 35(9):1510–1524

    Article  Google Scholar 

  • Bogren H, Buonocore M, Valente R (2004) Four dimensional magnetic resonance velocity mapping of blood flow patterns in the aorta in patients with atherosclerotic coronary artery disease compared age-matched normal subjects. J Magn Reson Imaging 19(4):417–427

    Article  Google Scholar 

  • Boutsianis E, Guala M, Olgac U, Wildermuth S, Hoyer K, Ventikos Y, Poulikakos D (2009) CFD and PTV steady flow investigation in an anatomically accurate abdominal aortic aneurysm. J Biomech Eng 131(1):011008–011015

    Article  Google Scholar 

  • Chandran KB (1993) Flow dynamics in the human aorta. J Biomed Eng 115:611–616

    Google Scholar 

  • Dyverfeldt P, Sigfridsson A, Kvitting J, Ebbers T (2006) Quantification of intravoxel velocity standard deviation and turbulence intensity by generalizing phase-contrast mri. Magn Reson Med 56(4):850–858

    Article  Google Scholar 

  • Dyverfeldt P, Kvitting J, Sigfridsson A, Engvall J, Bolger A, Ebbers T (2008) Assessment of fluctuating velocities in disturbed cardiovascular blood flow : in vivo feasibility of generalized phase-contrast mri. J Magn Reson Imaging 28(3):655–663

    Article  Google Scholar 

  • Frydrychowicz A, Harloff A, Zaitsev BJM, Weigang E, Bley T, Langer M, Hennig J, Markl M (2007) Time resolved, 3-dimensional magnetic resonance flow analysis at 3t: visualization of normal and pathological aortic vascular hemodynamics. J Comput Assist Tomogr 31(1):9–15

    Article  Google Scholar 

  • Holzner M, Liberzon A, Nikitin N, Luthi B, Kinzelbach W, Tsinober A (2008) A lagrangian investigation of the small-scale features of turbulent entrainment through particle tracking and direct numerical simulation. J Fluid Mech 598:465–475

    Article  MATH  Google Scholar 

  • Hoyer K, Holzner M, Luthi B, Guala M, Liberzon A, Kinzelbach W (2005) 3d scanning particle tracking velocimetry. Exp Fluids 39:923–934

    Article  Google Scholar 

  • Kasagi N, Matsunaga A (1995) Three-dimensional particle tracking velocimetry measurement of turbulence statistics and energy budget in a backward-facing step flow. Int J Heat Fluid Flow 16(6):477–485

    Article  Google Scholar 

  • Kilner P, Yang G, Mohiaddin R, Firmin D, Longmore D (1993) Helical and retrograde secondary flow patterns in the aortic arch studied by three-directional magnetic resonance velocity mapping. Circulation 88:2235–2247

    Article  Google Scholar 

  • Kozerke S, Hasenkam J, Pedersen E, Boesiger P (2001) Visualization of flow patterns distal to aortic valve prostheses in humans using a fast approach for cine 3d velocity mapping. J Magn Reson Imaging 13(5):690–698

    Article  Google Scholar 

  • Ku D (1997) Blood flow in arteries. Annu Rev Fluid Mech 29:399–434

    Article  MathSciNet  Google Scholar 

  • Kvitting J, Dyverfeldt P, Sigfridsson A, Frazen S, Wigstrom L, Bolger A, Ebbers T (2010) In vitro assessment of flow patterns and turbulence intensity in prosthetic heart valves using generalized phase-contrast mri. J Magn Reson Imaging 31(5):1075–1080

    Article  Google Scholar 

  • Lüthi B, Tsinober A, Kinzelbach W (2005) Lagrangian measurement of vorticity dynamics in turbulent flow. J Fluid Mech 528:87–118

    Article  MATH  Google Scholar 

  • Maas H, Gruen A, Papantoniou D (1993) Particle tracking velocimetry in three-dimensional flows. Exp Fluids 15(2):133–146

    Article  Google Scholar 

  • Malik N, Dracos T, Papantoniou D (1993) Particle tracking velocimetry in three-dimensional flows. Exp Fluids 15(4–5):279–294

    Google Scholar 

  • Markl M, Draney MT, Miller DC, Levin JM, Willamson EE, Pelc NJ, Liang DH, Herfkens RJ (2005) Time-resolved 3D magnetic resonance velocity mapping of aortic flow in normal volunteers and patients after valve-sparing aortic root replacement. J Thorac Cardiovasc Surg 130(2):456–463

    Article  Google Scholar 

  • McDonald D (1952) The occurence of turbulent flow in the rabbit aorta. J Physiol 118:340–347

    Google Scholar 

  • Moore J, Xu C, Glagov S, Zarins C, Ku D (1994) Fluid wall shear stress measurements in a model of the human abdominal aorta:oscillatory behavior and relationship to atherosclerosis. Atherosclerosis 110:225–240

    Article  Google Scholar 

  • Morbiducci U, Ponzini R, Rizzo G, Cadioli M, Cobelli F, Maschito A, Montevecchi F, Redaelli A (2009) In vivo quantification of helical blood flow in human aorta by time resolved three-dimensional cine phase contrast magnetic resonance imaging. Ann Biomed Eng 37(3):516–531

    Article  Google Scholar 

  • Morbiducci U, Ponzini R, Rizzo G, Cadioli M, Esposito A, Montevecchi F, Redaelli A (2011) Mechanistic insight into the physiological relevance of helical blood flow in the human aorta: an in vivo study. Biomech Model Mechanobiol 10:339–355

    Article  Google Scholar 

  • Naruse T, Tanishita K (1996) Large curvature effect on pulsatile entrance flow in a curved tube: model experiment simulating blood flow in an aortic arch. J Biomed Eng 118:180–186

    Google Scholar 

  • Nerem RM, Wood NB, Seed WA (1972) An experimental study of the velocity distribution and transition to turbulence in the aorta. J Fluid Mech 52:137–160

    Article  Google Scholar 

  • Pedocchi F, Martin J, Garcia M (2008) Inexpensive fluorescent particles for large-scale experiments using particle image velocimetry. Exp Fluids 45:183–186

    Article  Google Scholar 

  • Schibli M, Wiesendanger M, Guzzella L, Hoyer K, Soellinger M, Kurtcuoglu V, Boesiger P (2008) In vitro measurement of ventricular cerebrospinal fluid flow using particle tracking velocimetry and magnetic resonance imaging. First Int Symp Appl Sci Biomed Commun Technol (ISABEL) 39:923–934

    Google Scholar 

  • Segadal L, Matre K (1987) Blood velocity distribution in the human ascending aorta. Circulation 76(1):90–100

    Article  Google Scholar 

  • Stein P, Sabbah H (1976) Turbulent blood flow in the ascending aorta of humans with normal and diseased aortic valves. Circ Res 39:58–65

    Article  Google Scholar 

  • Stamatopoulos C, Mathioulakis DS, Papaharilaoub Y, Katsamouris A (2011) Experimental unsteady flow study in a patient-specific abdominal aortic aneurysm model. Exp Fluids 50:1695–1709

    Article  Google Scholar 

  • Virant M, Dracos T (1997) 3d ptv and its application on lagrangian motion. Meas Sci Technol 8(12):1539–1552

    Article  Google Scholar 

  • Wilneff J, Gruen A (2002) A new spatio-temporal matching algorithm for 3d-particle tracking velocimetry. The 9th international symposium on transport phenomena and dynamics of rotating machinery honolulu, Hawaii, USA

  • Wilson J, Cobb E, Kilpatrick F (1986) Fluorometric producers for dye tracing, vol 45. U.S. geological survey, techniques of water resources investigation, Book 3, U.S. Government printing office

  • Yamaguchi T, Kikkawa S, Parker K (1987) Simulation of nonstationary spectral analysis of turbulence in the aorta using a modified autoregressive or maximum entropy (ar/me) method. Med Biol Eng Comput 25:533–542

    Article  Google Scholar 

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Acknowledgments

This work was supported by ETH Research Grant ETH-24 08-2. Support from COST Action MP0806 is kindly acknowledged.

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Correspondence to Utku Gülan.

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Gülan, U., Lüthi, B., Holzner, M. et al. Experimental study of aortic flow in the ascending aorta via Particle Tracking Velocimetry. Exp Fluids 53, 1469–1485 (2012). https://doi.org/10.1007/s00348-012-1371-8

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  • DOI: https://doi.org/10.1007/s00348-012-1371-8

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