Abstract
Purpose
Particle image velocimetry (PIV), an in vitro experimentation technique that optically measures velocity components to analyze fluid velocity fields, has become increasingly popular to study flow dynamics in various vascular territories. However, it can be difficult and expensive to create patient-specific clear models for PIV due to the importance of refractive index matching of the model and the fluid. We aim to implement and test the use of poly-vinyl alcohol (PVA) in a lost-core casting technique to create low-cost, patient-specific models for PIV.
Methods
Anonymized patient vascular anatomies were segmented and processed in Mimics/3Matic to create patient-specific cores from 3D digital subtraction angiographies. The cores were 3D-printed with PVA and post-processed with a 80:20 water:glue mixture to smooth the surface. Two silicones, Sylgard 184 and Solaris, were used to encapsulate the model and the PVA core was dissolved using warm water. Computed tomography scans were used to evaluate geometric accuracy using circumferences and surface differences in the model.
Results
Mean geometric differences in circumference along the inlet centerline and the mean surface difference in the aneurysm between the final Silicone Model and the desired STL Print geometry were statistically insignificant (0.6 mm, 95% CI [− 1.4, 2.8] and 0.3 mm 95% CI [− 0.1, 0.7], respectively). Particle illumination within each model was successful. The cost of one 10 cm × 10 cm × 5 cm model was $69.
Conclusion
This technique was successful to implement and test the use of PVA in a lost-core casting technique to create low-cost, patient-specific in vitro models for PIV experimentation.
Change history
25 July 2023
A Correction to this paper has been published: https://doi.org/10.1007/s13239-023-00655-5
References
Arcaute, K., and R. B. Wicker. Patient-specific compliant vessel manufacturing using dip-spin coating of rapid prototyped molds. J. Manuf. Sci. Eng. 130:1–13, 2008.
Bai, K., and J. Katz. On the refractive index of sodium iodide solutions for index matching in PIV. Exp. Fluids 55:1–6, 2014.
Brunette, J., R. Mongrain, and J. C. Tardif. A realistic coronary artery phantom for particle image velocimetry. J. Vis. 7:241–248, 2004.
Buchoux, A., P. Valluri, S. Smith, A. A. Stokes, P. R. Hoskins, and V. Sboros. Manufacturing of microcirculation phantoms using rapid prototyping technologies. In: Proceedings of Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5908–5911, 2015.
Büsen, M., T. A. S. Kaufmann, M. Neidlin, U. Steinseifer, and S. J. Sonntag. In vitro flow investigations in the aortic arch during cardiopulmonary bypass with stereo-PIV. J. Biomech. 48:2005–2011, 2015.
Despotović, I., B. Goossens, and W. Philips. MRI segmentation of the human brain: Challenges, methods, and applications. Comput. Math. Methods Med. 2015:1–23, 2015.
Falk, K. L., D. R. Rutkowski, S. Schafer, A. Roldán-Alzate, E. L. Oberstar and C. Strother. Impact of image reconstruction parameters when using 3D DSA reconstructions to measure intracranial aneurysms. J. Neurointerv. Surg. 10:285–289, 2017.
Ford, M. D., H. N. Nikolov, J. S. Milner, S. P. Lownie, E. M. DeMont, W. Kalata, F. Loth, D. W. Holdsworth, and D. A. Steinman. PIV-measured versus CFD-predicted flow dynamics in anatomically realistic cerebral aneurysm models. J. Biomech. Eng. 130:021015, 2008.
Geoghegan, P. H., N. A. Buchmann, J. Soria, and M. C. Jermy. Time-resolved PIV measurements of the flow field in a stenosed, compliant arterial model. Exp. Fluids 54:1–19, 2013.
Geoghegan, P. H., N. A. Buchmann, C. J. T. Spence, S. Moore, and M. Jermy. Fabrication of rigid and flexible refractive-index-matched flow phantoms for flow visualisation and optical flow measurements. Exp. Fluids 52:1331–1347, 2012.
Gülan, U., B. Lüthi, M. Holzner, A. Liberzon, A. Tsinober, and W. Kinzelbach. Experimental study of aortic flow in the ascending aorta via Particle Tracking Velocimetry. Exp. Fluids 53:1469–1485, 2012.
Hütter, L., P. H. Geoghegan, P. D. Docherty, M. S. Lazarjan, and D. Clucas. Fabrication of a compliant phantom of the human aortic arch for use in Particle Image Velocimetry (PIV) experimentation. Curr. Dir. Biomed. Eng. 2:493–497, 2016.
Johnston, I. D., D. K. McCluskey, C. K. L. Tan, and M. C. Tracey. Mechanical characterization of bulk Sylgard 184 for microfluidics and microengineering. J. Micromech. Microeng. 24:1–7, 2014.
Kitajima, H. D., K. S. Sundareswaran, T. Z. Teisseyre, G. W. Astary, W. J. Parks, O. Skrinjar, J. N. Oshinski, and A. P. Yoganathan. Comparison of Particle Image Velocimetry and Phase Contrast MRI in a Patient-Specific Extracardiac Total Cavopulmonary Connection. J. Biomech. Eng. 130:041004, 2008.
Laumen, M., T. Kaufmann, D. Timms, P. Schlanstein, S. Jansen, S. Gregory, K. C. Wong, T. Schmitz-Rode, and U. Steinseifer. Flow analysis of ventricular assist device inflow and outflow cannula positioning using a naturally shaped ventricle and aortic branch. Artif. Organs 34:798–806, 2010.
Leo, H. L., L. P. Dasi, J. Carberry, H. A. Simon, and A. P. Yoganathan. Fluid dynamic assessment of three polymeric heart valves using particle image velocimetry. Ann. Biomed. Eng. 34:936–952, 2006.
Lieber, B. B., V. Livescu, L. N. Hopkins, and A. K. Wakhloo. Particle image velocimetry assessment of stent design influence on intra-aneurysmal flow. Ann. Biomed. Eng. 30:768–777, 2002.
Medero, R., C. Hoffman, and A. Roldán-Alzate. Comparison of 4D flow MRI and particle image velocimetry using an in vitro carotid bifurcation model. Ann. Biomed. Eng. 46:2112–2122, 2018.
Morino, T., T. Tanoue, S. Tateshima, F. Vinuela, and K. Tanishita. Intra-aneurysmal blood flow based on patient-specific CT angiogram. Exp. Fluids 49:485–496, 2010.
Raffel, M., C. E. Willert, S. Wereley, and J. Kompenhans. Particle Image Velocimetry. Berlin: Springer, p. 448, 2007.
Rutkowski, D. R., R. Medero, F. J. Garcia, and A. Roldán-Alzate. MRI-based modeling of spleno-mesenteric confluence flow. J Biomech 88:95–103, 2019.
Scholz, P., I. Reuter, and D. Heitmann. PIV measurements of the flow through an intake port using refractive index matching. In: 16th International Symposiyum on Applications of Laser Techniques to Fluid Mechanics, 2012.
Smith, R. F., B. K. Rutt, and D. W. Holdsworth. Anthropomorphic carotid bifurcation phantom for MRI applications. J. Magn. Reson. Imaging 10:533–544, 1999.
Solaris®. Technical data sheet, clear silicone encapsulating Rubber, Smooth-On. Macungie, PA.
Stoiber, M., T. Schlöglhofer, P. Aigner, C. Grasl, and H. Schima. An alternative method to create highly transparent hollow models for flow visualization. Int. J. Artif. Organs 36:131–134, 2013.
Sulaiman, A., L. Boussel, F. Taconnet, J. M. Serfaty, H. Alsaid, C. Attia, L. Huet, and P. Douek. In vitro non-rigid life-size model of aortic arch aneurysm for endovascular prosthesis assessment. Eur. J. Cardio-Thoracic Surg. 33:53–57, 2008.
SYLGARDTM 184. Technical data sheet, The Dow Corning Company. Midland, MI.
Taylor, T. W., and T. Yamaguchi. Three-dimensional simulation of blood flow in an abdominal aortic aneurysm using steady and unsteady computational methods. J. Biomech. Eng. 22:229–232, 1992.
Töger, J., S. Bidhult, J. Revstedt, M. Carlsson, and E. Heiberg. Independent validation of four-dimensional flow MR velocities and vortex ring volume using particle imaging velocimetry and planar laser-Induced fluorescence. Magn. Reson. Med. 75:1064–1075, 2016.
Wohl, C. J., F. L. Palmieri, J. W. Hopkins, A. M. Jackson, J. W. Connell, Y. Lin, and A. A. Cisotto. Flexible micropost arrays for shear stress measurement. In: NASA Scientific Technical Information, pp. 1–33, 2015.
Wright, S. F., I. Zadrazil, and C. N. Markides. A review of solid–fluid selection options for optical-based measurements in single-phase liquid, two-phase liquid–liquid and multiphase solid–liquid flows. Exp. Fluids 58:1–39, 2017.
Yagi, T., A. Sato, M. Shinke, S. Takahashi, Y. Tobe, H. Takao, Y. Murayama, and M. Umezu. Experimental insights into flow impingement in cerebral aneurysm by stereoscopic particle image velocimetry: Transition from a laminar regime. J. R. Soc. Interface 10:1–14, 2013.
Yazdi, S. G., P. H. Geoghegan, P. D. Docherty, M. Jermy, and A. Khanafer. A review of arterial phantom fabrication methods for flow measurement using PIV techniques. Ann. Biomed. Eng. 46:1697–1721, 2018.
Yip, R., R. Mongrain, A. Ranga, J. Brunette, and R. Cartier. Development of anatomically correct mock-ups of the aorta for PIV investigations. In: Proceedings of the Canadian Design Engineering Network Conference, pp. 1–10, 2004.
Acknowledgements
Funding for this project was partially supported by a National Institutes of Health K12-DK100022 Grant (Dr. Roldán-Alzate).
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All authors have contributed to the material presented in this manuscript and this material has not been submitted for publication elsewhere.
Conflict of interest
K.L. Falk, R. Medero and A. Roldán-Alzate declare that they have no conflicts of interest to report.
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Associate Editor Ajit P. Yoganathan oversaw the review of this article.
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Falk, K.L., Medero, R. & Roldán-Alzate, A. Fabrication of Low-Cost Patient-Specific Vascular Models for Particle Image Velocimetry. Cardiovasc Eng Tech 10, 500–507 (2019). https://doi.org/10.1007/s13239-019-00417-2
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DOI: https://doi.org/10.1007/s13239-019-00417-2