Abstract
Atherosclerosis is one of the leading causes of death worldwide. It is a chronic inflammatory disease of the arterial wall that progressively reduces the lumen size because of plaque formation. To understand this pathological process, several hemodynamic studies have been carried out, either experimentally or numerically. However, experimental studies have played an important role to validate numerical results. Recent advances in computer-aided design (CAD), medical imaging, and 3D printing technologies have provided a rapid and cost-efficient method to produce physical biomodels for flow visualization. As a manufacturing process, 3D printing techniques have attracted significant attention due to the low cost and potential to rapidly fabricate biomodels to perform flow hemodynamic studies.
In the present work, a study was performed using biomodels manufactured by 3D printing that mimic both healthy and stenotic coronary arteries with different degrees of stenosis (0%, 50% and 70%). Firstly, it was evaluated the influence of the printing resolution on flow visualization, and the results showed that, when comparing to 150 μm, the 100 μm resolution biomodel was the most adequate for performing the proposed experimental studies, presenting an arithmetic average roughness of 7.24 μm. Secondly, the effect of stenosis severity on velocity and flow behavior was studied. It was concluded that as the severity of stenosis increases, the velocity at the stenosis throat also increases. In addition to this, it was also observed a recirculation zone downstream the stenosis, when the diameter was reduced to 70%.
P. Costa, S. Teixeira and R. Lima—Shared senior authorship
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Thomas, H., et al.: Global atlas of cardiovascular disease prevention and control. World Health Organ. (2011). https://doi.org/10.1016/j.gheart.2018.09.511
Costa, P.F., et al.: Mimicking arterial thrombosis in a 3D-printed microfluidic: in vitro vascular model based on computed tomography angiography data. Lab Chip 17, 2785–2792 (2017). https://doi.org/10.1039/c7lc00202e
Queijo, L., Lima, R.: PDMS anatomical realistic models for hemodynamic studies using rapid prototyping technology. In: Lim, C.T., Goh, J.C.H. (eds.) 6th World Congress of Biomechanics (WCB 2010). August 1–6, 2010 Singapore. IFMBE Proceedings, vol. 31. Springer, Berlin, Heidelberg (2010). https://doi.org/10.1007/978-3-642-14515-5
Geoghegan, P.H., Jermy, M.C., Nobes, D.S.: 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, 1–16 (2017). https://doi.org/10.1142/S0219519417500415
Kabinejadian, F., et al.: In vitro measurements of velocity and wall shear stress in a novel sequential anastomotic graft design model under pulsatile flow conditions. Med. Eng. Phys. 36, 1233–1245 (2014). https://doi.org/10.1016/j.medengphy.2014.06.024
Banerjee, R.K., Ashtekar, K.D., Helmy, T.A., Effat, M.A., Back, L.H., Khoury, S.F.: Hemodynamic diagnostics of epicardial coronary stenoses: in-vitro experimental and computational study. Biomed. Eng. Online 7 (2008). https://doi.org/10.1186/1475-925X-7-24
Friedman, M.H., Giddens, D.P.: Blood flow in major blood vessels - modeling and experiments. Ann. Biomed. Eng. 33, 1710–1713 (2005). https://doi.org/10.1007/s10439-005-8773-1
Catarino, S.O., Rodrigues, R.O., Pinho, D., Miranda, M., Minas, G., Lima, R.: Blood cells separation and sorting techniques of passive microfluidic devices: from fabrication to applications. Micromachines 10, 593 (2019)
Bento, D., et al.: deformation of red blood cells, air bubbles, and droplets in microfluidic devices: flow visualizations and measurements. Micromachines 9 (2018). https://doi.org/10.3390/mi9040151
Wang, K., Ho, C.C., Zhang, C., Wang, B.: A review on the 3D printing of functional structures for medical phantoms and regenerated tissue and organ applications. Engineering 3, 653–662 (2017). https://doi.org/10.1016/J.ENG.2017.05.013
Aycock, K.I., Hariharan, P., Craven, B.A.: Particle image velocimetry measurements in an anatomical vascular model fabricated using inkjet 3D printing. Exp. Fluids 58, 1–8 (2017). https://doi.org/10.1007/s00348-017-2403-1
Faria, C.L., Pinho, D., Santos, J., Gonçalves, L.M.: Low cost 3D printed biomodels for biofluid mechanics applications. J. Mech. Eng. Biomech. 3, 1–7 (2018)
Jewkes, R., Burton, H.E., Espino, D.M.: Towards additive manufacture of functional, spline-based morphometric models of healthy and diseased coronary arteries: in vitro proof-of-concept using a porcine template. J. Funct. Biomater. 9 (2018). https://doi.org/10.3390/jfb9010015
Geoghegan, P.H., Buchmann, N.A., Spence, C.J.T., Moore, S., Jermy, M.: Fabrication of rigid and flexible refractive-index-matched flow phantoms for flow visualisation and optical flow measurements. Exp. Fluids 52, 1331–1347 (2012). https://doi.org/10.1007/s00348-011-1258-0
Doutel, E., Carneiro, J., Campos, J.B.L.M., Miranda, J.M.: Experimental and numerical methodology to analyze flows in a coronary bifurcation. Eur. J. Mech. B/Fluids 67, 341–356 (2018). https://doi.org/10.1016/j.euromechflu.2017.09.009
Lai, S.S.M., Yiu, B.Y.S., Poon, A.K.K., Yu, A.C.H.: Design of anthropomorphic flow phantoms based on rapid prototyping of compliant vessel geometries. Ultrasound Med. Biol. 39, 1654–1664 (2013). https://doi.org/10.1016/j.ultrasmedbio.2013.03.015
Stepniak, K., Ursani, A., Paul, N., Naguib, H.: Novel 3D printing technology for CT phantom coronary arteries with high geometrical accuracy for biomedical imaging applications. Bioprinting 18, (2020). https://doi.org/10.1016/j.bprint.2020.e00074
Kalaskar, D.M.: 3D Printing in Medicine. Elsevier (2017)
Zhou, F.-F.: Coronary artery diameter is inversely associated with the severity of coronary lesions in patients undergoing coronary angiography. Cell. Physiol. Biochem. 43, 1247–1257 (2017). https://doi.org/10.1159/000481765
Abràmoff, M.D., Magalhães, P.J., Ram, S.J.: Image processing with image. J. Biophotonics Int. 11, 36–41 (2004). https://doi.org/10.1017/CBO9781107415324.004
Srivani, A., Xavior, M.A.: Investigation of surface texture using image processing techniques. Procedia Eng. 97, 1943–1947 (2014). https://doi.org/10.1016/j.proeng.2014.12.348
Feng, Y., Goree, J., Liu, B.: Errors in particle tracking velocimetry with high-speed cameras. Rev. Sci. Instrum. 82 (2011). https://doi.org/10.1063/1.3589267
Acknowledgements
The authors acknowledge the financial support provided by Fundação para a Ciência e a Tecnologia (FCT), through the projects UIDB/04077/2020, UIDB/00319/2020, and UIDB/04436/2020, NORTE-01-0145-FEDER-029394 and NORTE-01-0145-FEDER-030171, funded by COMPETE2020, NORTE 2020, PORTUGAL 2020 and FEDER. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 798014. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 828835.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Carvalho, V. et al. (2022). Hemodynamic Studies in Coronary Artery Models Manufactured by 3D Printing. In: Machado, J., Soares, F., Trojanowska, J., Ottaviano, E. (eds) Innovations in Mechanical Engineering. icieng 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-79165-0_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-79165-0_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-79164-3
Online ISBN: 978-3-030-79165-0
eBook Packages: EngineeringEngineering (R0)