Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 407-412 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 48 |
| Issue number | 20 |
| DOIs | |
| Publication status | Published - 1 Sept 2015 |
Bibliographical note
© 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/Keywords
- Aortic arch
- Blood flow
- Compliant vessels
- Particle image velocimetry (PIV)
- Windkessel model
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Dive into the research topics of 'Application of a meta-analysis of aortic geometry to the generation of a compliant phantom for use in particle image velocimetry experimentation'. Together they form a unique fingerprint.Research output
- 19 Citations
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A Review of Arterial Phantom Fabrication Methods for Flow Measurement Using PIV Techniques
Yazdi, S. G., Geoghegan, P. H., Docherty, P. D., Jermy, M. & Khanafer, A., 15 Nov 2018, In: Annals of Biomedical Engineering. 46, p. 1697–1721Research output: Contribution to journal › Article › peer-review
Open AccessFile80 Link opens in a new tab Citations (SciVal)179 Downloads (Pure) -
A PIV comparison of the flow field and wall shear stress in rigid and compliant models of healthy carotid arteries
Geoghegan, P. H., Jermy, M. C. & Nobes, D. S., 21 Jul 2017, In: Journal of Mechanics in Medicine and Biology. 17, 3, 1750041.Research output: Contribution to journal › Article › peer-review
Open AccessFile27 Link opens in a new tab Citations (Scopus)227 Downloads (Pure) -
Regressive cross-correlation of pressure signals in the region of stenosis: Insights from particle image velocimetry experimentation
Docherty, P. D., Geoghegan, P. H., Huetter, L., Jermy, M. & Sellier, M., 1 Feb 2017, In: Biomedical Signal Processing and Control. 32, p. 143-149 7 p.Research output: Contribution to journal › Article › peer-review
8 Link opens in a new tab Citations (Scopus)
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