Magnetic resonance elastography with twin pneumatic drivers for wave compensation

Y. Zheng, G. Li, M. Chen, Q. C.C. Chan, S. G. Hu, X. N. Zhao, R. L. Ehman, E. Y. Lam, E. S. Yang

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

2 Scopus citations

Abstract

MR Elastography is a new technique using conventional MRI system to assess the elastic properties of tissues. When using pneumatic driver, usually one driver was put at one place of tissue. But the shear wave generated by one pneumatic driver cannot illuminate the large area due to the attenuation. So we use two pneumatic drivers driven synchronously to generate interference shear wave in our experiments. The results from the phantom study show the interference wave pattern generated by the twin pneumatic drivers can compensate the attenuation of the shear wave when propagating in phantom. Also, a finite element modeling was used to simulate twin pneumatic driver datasets. It is hoped that by twin pneumatic drivers, we can illuminate the whole brain; the liver and large areas in-vivo. Further study will be conducted with the twin pneumatic drivers in ex-vivo and invivo studies.

Original languageEnglish (US)
Title of host publication29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
PublisherIEEE Computer Society
Pages2611-2613
Number of pages3
ISBN (Print)1424407885, 9781424407880
DOIs
StatePublished - 2007
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: Aug 23 2007Aug 26 2007

Publication series

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

Other

Other29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Country/TerritoryFrance
CityLyon
Period8/23/078/26/07

Keywords

  • Attenuation
  • MR elastography; shear wave; twin drivers; pneumatic driver
  • Wave interference

ASJC Scopus subject areas

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

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