Literature DB >> 26983961

A High Performance Pulsatile Pump for Aortic Flow Experiments in 3-Dimensional Models.

Rafeed A Chaudhury1, Victor Atlasman2, Girish Pathangey3, Nicholas Pracht3, Ronald J Adrian4, David H Frakes3,2.   

Abstract

Aortic pathologies such as coarctation, dissection, and aneurysm represent a particularly emergent class of cardiovascular diseases. Computational simulations of aortic flows are growing increasingly important as tools for gaining understanding of these pathologies, as well as for planning their surgical repair. In vitro experiments are required to validate the simulations against real world data, and the experiments require a pulsatile flow pump system that can provide physiologic flow conditions characteristic of the aorta. We designed a newly capable piston-based pulsatile flow pump system that can generate high volume flow rates (850 mL/s), replicate physiologic waveforms, and pump high viscosity fluids against large impedances. The system is also compatible with a broad range of fluid types, and is operable in magnetic resonance imaging environments. Performance of the system was validated using image processing-based analysis of piston motion as well as particle image velocimetry. The new system represents a more capable pumping solution for aortic flow experiments than other available designs, and can be manufactured at a relatively low cost.

Entities:  

Keywords:  Aorta; Blood flow; Flow loop; Heart valves; Physiological waveform; Piston pump; Pulsatile flow

Mesh:

Year:  2016        PMID: 26983961     DOI: 10.1007/s13239-016-0260-3

Source DB:  PubMed          Journal:  Cardiovasc Eng Technol        ISSN: 1869-408X            Impact factor:   2.495


  2 in total

1.  Does the degree of coarctation of the aorta influence wall shear stress focal heterogeneity?

Authors:  John Gounley; Rafeed Chaudhury; Madhurima Vardhan; Michael Driscoll; Girish Pathangey; Kevin Winarta; Justin Ryan; David Frakes; Amanda Randles
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

2.  Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks.

Authors:  Bradley Feiger; John Gounley; Dale Adler; Jane A Leopold; Erik W Draeger; Rafeed Chaudhury; Justin Ryan; Girish Pathangey; Kevin Winarta; David Frakes; Franziska Michor; Amanda Randles
Journal:  Sci Rep       Date:  2020-06-11       Impact factor: 4.379

  2 in total

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