Application of a meta-analysis of aortic geometry to the generation of a compliant phantom for use in particle image velocimetry experimentation


The evolution of pressure-flow geometry in the aortic arch is increasingly understood as a key element in the treatment of hemodynamic dysfunction in patients. However, little is known about the properties of the flow across the aortic geometry and thus the sensitivity of sensor placement is also unknown. Compliant models of the aortic path can be built to allow techniques such as particle image velocimetry to measure the velocity fields. This paper presents the justification and production methodology used to generate a compliant model of the aortic arch that represents the geometry and compliance of typical hemodynamics patients. The information from twenty papers was synthesized to generate a single model of the aortic arch. The model incorporates the three branching arteries at an apex of a tapering aortic path experimental that has been manufactured as a flexible thin-walled silicon model. Calculations were undertaken to ensure that the model matches the in vivo compliance of the arteries. The experimental setup uses the compliant silicone model of the aorta with variable flow pump to mimic the cardiac cycle, and a variable extramural pressure to mimic changes in intrathoracic pressure. This research was necessary for the development of an accurate experimental setup that would enable results that are immediately applicable to the research of cardiovascular therapy optimization.

Publication DOI:
Divisions: Life & Health Sciences
Life & Health Sciences > Ophthalmic Research Group
Additional Information: © 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Uncontrolled Keywords: Aortic arch,Blood flow,Compliant vessels,Particle image velocimetry (PIV),Windkessel model,Control and Systems Engineering
Full Text Link: http://hdl.hand ... net/10092/11029
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.sci ... 405896315020650 (Publisher URL)
PURE Output Type: Article
Published Date: 2015-09-01
Authors: Huetter, Larissa
Geoghegan, Patrick H. ( 0000-0003-1224-0477)
Docherty, Paul D.
Lazarjan, Milad Soltanipour
Clucas, Don
Jermy, Mark C.

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