Fluid dynamics of valve closure and sustained regurgitation in cardiac valve prostheses

C. Bachmann, S. Deutsch, A. Fontaine, J. M. Tarbell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It is believed that the fluid mechanical stresses associated with valve closure and sustained regurgitation are responsible for a significant portion of the blood damage observed with the use of mechanical cardiac valve replacements. The high velocity spikes and extreme pressure fluctuations associated with the impact of the occluder and the housing have been suspect in the initiation of cavitation, which can lead to increased hemolysis, excessive valve damage, and the formation of stable bubbles. These events have been photographed in vitro, and there is evidence of their occurrence in vivo. The fluid dynamic events at the instant of valve closure have not yet been captured experimentally. Two dimensional Laser Doppler Velocimetry was used to investigate the fluid dynamic aspects associated with valve closure and sustained regurgitation in vitro on artificial heart valves in the mitral position.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Number of pages1
ISBN (Print)0780356756
StatePublished - Dec 1 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
ISSN (Print)0589-1019

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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