Skip to main content

Brief Review on Recent Technology in Particle Image Velocimetry Studies on Hemodynamics in Carotid Artery

  • Conference paper
  • First Online:
Human-Centered Technology for a Better Tomorrow

Abstract

Cardiovascular disease is number one causes of morbidity and mortality in global. In-vitro studies are widely applied in the investigation of blood hemodynamics under pathological conditions to diagnose atherosclerosis in carotid artery. This article presents a brief review on the latest published articles was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses on the particle image velocimetry (PIV) studies of blood flow in carotid artery geometries. Fourteen (14) recent articles from 2016 to 2020 in main databases i.e. Scopus, PubMed and ScienceDirect were included. The data of the published articles were focused on the technical aspects of PIV flow measurement and were organized in two categories i.e. carotid phantom geometries constructions and the blood mimicking flow circuits. This systematic review paper summarises the updated methodology in the PIV and identify potential areas to elucidate the accuracy and limitations of each method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. WHO (2016) Global health estimates 2016: deaths by cause, age, sex, by country and by region. World Health Organization

    Google Scholar 

  2. Sakellarios A, Bourantas CV, Papadopoulou SL et al (2017) Prediction of atherosclerotic disease progression using LDL transportmodelling: a serial computed tomographic coronary angiographic study. Eur Heart J Cardiovasc Imaging 18(1):11–18. https://doi.org/10.1093/ehjci/jew035

    Article  Google Scholar 

  3. Tarbell JM (2003) Mass transport in arteries and the localization of atherosclerosis. Annu Rev Biomed Eng 5:79–118. https://doi.org/10.1146/annurev.bioeng.5.040202.121529

    Article  Google Scholar 

  4. Sun N, Torii R, Wood NB, Hughes AD, Thom SAM, Xu XY (2009) Computational modeling of LDL and albumin transport in an in vivo CT image-based human right coronary artery. J Biomech Eng 131(2):1–9. https://doi.org/10.1115/1.3005161

    Article  Google Scholar 

  5. Hewlin RL, Kizito JP (2018) Development of an experimental and digital cardiovascular arterial model for transient hemodynamic and postural change studies: “a preliminary framework analysis.” Cardiovas. Eng. Technol. 9(1). https://doi.org/10.1007/s13239-017-0332-z

  6. Yazdi SG, Huetter L, Docherty PD et al (2019) A novel fabrication method for compliant silicone phantoms of arterial geometry for use in particle image velocimetry of haemodynamics. Appl Sci 9(18):1–16. https://doi.org/10.3390/app9183811

    Article  Google Scholar 

  7. Ho WH, Tshimanga IJ, Ngoepe MN, Jermy MC, Geoghegan PH (2020) Evaluation of a desktop 3D printed rigid refractive-indexed-matched flow phantom for PIV measurements on cerebral aneurysms. Cardiovasc Eng Technol 11(1):14–23. https://doi.org/10.1007/s13239-019-00444-z

    Article  Google Scholar 

  8. Johari NH, Wood NB, Cheng Z et al (2019) Disturbed flow in a stenosed carotid artery bifurcation: comparison of RANS-based transitional model and les with experimental measurements. Int J Appl Mech 11(4):1–21. https://doi.org/10.1142/S1758825119500327

    Article  Google Scholar 

  9. Chen Y, Yang X, Iskander AJ, Wang P (2020) On the flow characteristics in different carotid arteries. Phys Fluids 32(10). https://doi.org/10.1063/5.0022092

  10. Geoghegan PH, Jermy MC, Nobes DS (2017) A PIV comparison of the flow field and wall shear stress in rigid and compliant models of healthy carotid arteries. J Mech Med Biol 17(3):1–16. https://doi.org/10.1142/S0219519417500415

    Article  Google Scholar 

  11. Akagawa O, Fukazu K, Nagaoka R, Saijo Y (2016) Two-dimensional blood flow vector and wall shear stress of carotid artery obtained with dual-angle Doppler method. In: IEEE International ultrasonics symposium, IUS 2016; pp 0–3. https://doi.org/10.1109/ULTSYM.2016.7728523

  12. Geoghegan PH, Docherty PD, Sellier M, Jermy MC (2016) Understanding arterial pressure from PIV data. In: 18th international symposium on the application of laser and imaging techniques to fluid mechanics

    Google Scholar 

  13. Marshall I, Zhao S, Papathanasopoulou P, Hoskins P, Xu XY (2004) MRI and CFD studies of pulsatile flow in healthy and stenosed carotid bifurcation models. J Biomech 37(5):679–687. https://doi.org/10.1016/j.jbiomech.2003.09.032

    Article  Google Scholar 

  14. Johari NH, Hamady M, Xu XY (2020) A Computational study of the effect of stent design on local hemodynamic factors at the carotid artery bifurcation. Artery Res 26(3):161–169. https://doi.org/10.2991/artres.k.200603.001

    Article  Google Scholar 

  15. Medero R, Hoffman C, Roldán-Alzate A (2018) Comparison of 4D flow MRI and particle image velocimetry Using an in vitro carotid bifurcation model. Ann Biomed Eng 46(12):2112–2122. https://doi.org/10.1007/s10439-018-02109-9.Comparison

    Article  Google Scholar 

  16. Sharma N, Sastry S, Sankovic JM, Kadambi JR, Banerjee RK (2020) Influence of near-wall PIV data on recirculation hemodynamics in a patient-specific moderate stenosis: experimental-numerical comparison. Biorheology 1:1–24. https://doi.org/10.3233/bir-201001

    Article  Google Scholar 

  17. DiCarlo AL, Holdsworth DW, Poepping TL (2019) Study of the effect of stenosis severity and non-Newtonian viscosity on multidirectional wall shear stress and flow disturbances in the carotid artery using particle image velocimetry. Med Eng Phys 65(xxxx):8–23. https://doi.org/10.1016/j.medengphy.2018.12.023

  18. Zhou H, Meng L, Zhou W et al (2017) Computational and experimental assessment of influences of hemodynamic shear stress on carotid plaque. Biomed Eng Online 16(1):1–11. https://doi.org/10.1186/s12938-017-0386-z

    Article  Google Scholar 

  19. Geoghegan PH, Buchmann NA, Spence CJT, Moore S, Jermy M (2012) Fabrication of rigid and flexible refractive-index-matched flow phantoms for flow visualisation and optical flow measurements. Exp Fluids 52:1331–1347. https://doi.org/10.1007/s00348-011-1258-0

    Article  Google Scholar 

  20. Barnett (1991) Benefial effect of carotid endarterectomy in symptomatic patients with high-grade carotid stenosis. New Engl J Med 325(7):445–453

    Google Scholar 

  21. Hong H, Ji HS, Kim HD, Kim KC (2017) Temporal and spatial flow structures in a simulated vessel with stenotic lesion using time-resolved PIV technique. J Visualization 20(4):833–845. https://doi.org/10.1007/s12650-017-0432-8

    Article  Google Scholar 

  22. Gates PE, Gurung A, Mazzaro L et al (2018) Measurement of wall shear stress exerted by flowing blood in the human carotid artery: ultrasound Doppler velocimetry and echo particle image velocimetry. Ultrasound Med Biol 44(7):1392–1401. https://doi.org/10.1016/j.ultrasmedbio.2018.02.013.Measurement

    Article  Google Scholar 

  23. Wang Y, Joannic D, Patrick J et al (2016) Comparison of flow measurement by 4D flow magnetic resonance imaging and by particles image velocimetry on phantom of abdominal aortic aneurysm to cite this version. SM Vasc Med 1(2):1008. https://hal.archives-ouvertes.fr/hal-01463873/documentAccessed

  24. Bulusu KV, Plesniak MW (2016) Experimental investigation of secondary flow structures downstream of a model type IV stent failure in a 180° curved artery test section. J Vis Exp 2016(113):1–18. https://doi.org/10.3791/51288

    Article  Google Scholar 

  25. Novakova L, Kolinsky J, Adamec J, Kudlicka J, Malik J (2016) Vascular stenosis asymmetry influences considerably pressure gradient and flow volume. Physiol Res 65(1):63–69. https://doi.org/10.33549/physiolres.932944

    Article  Google Scholar 

  26. Yazdi SG, Geoghegan PH, Docherty PD, Jermy M, Khanafer A (2018) A review of arterial phantom fabrication methods for flow measurement using PIV techniques. Ann Biomed Eng 46(11):1697–1721. https://doi.org/10.1007/s10439-018-2085-8

    Article  Google Scholar 

  27. Docherty PD, Geoghegan PH, Huetter L, Jermy M, Sellier M (2017) Regressive cross-correlation of pressure signals in the region of stenosis: insights from particle image velocimetry experimentation. Biomed Signal Process Control 32:143–149. https://doi.org/10.1016/j.bspc.2016.09.025

    Article  Google Scholar 

  28. Womersley J (1955) Method for calculation of velocity, rate of flow and viscous drag in arteries when the pressure gradient is known. J Physiol 127(3):553–563

    Article  Google Scholar 

  29. Caro CG, Pedley TJ, Schroter RC, Seed WA, Parker KH (2011) The mechanics of the circulation. Cambridge University Press, Cambridge

    Book  Google Scholar 

Download references

Acknowledgements

This work has been supported by a Research Grant RDU190343 from Universiti Malaysia Pahang.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nasrul Hadi Johari .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

M. Noor, A.F.H., Johari, N.H. (2022). Brief Review on Recent Technology in Particle Image Velocimetry Studies on Hemodynamics in Carotid Artery. In: Hassan, M.H.A., et al. Human-Centered Technology for a Better Tomorrow. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-4115-2_21

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-4115-2_21

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-4114-5

  • Online ISBN: 978-981-16-4115-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics