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Related Experiment Video

Updated: Jun 14, 2026

Echo Particle Image Velocimetry
16:31

Echo Particle Image Velocimetry

Published on: December 27, 2012

'Snap-shot' velocity vector mapping using echo-planar imaging.

Alexander B Tayler1, Andrew J Sederman, Benedict Newling

  • 1Department of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, United Kingdom.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|April 6, 2010
PubMed
Summary
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A new ultra-fast MRI velocimetry technique captures 3D velocity in under 125 ms. This method accurately images dynamic, non-periodic flows, including multiphase systems, advancing fluid dynamics research.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Fluid Dynamics
  • Multiphase Flow Systems

Background:

  • Conventional MRI velocimetry struggles with dynamic or non-periodic systems.
  • Existing techniques often require triggered acquisitions, limiting real-time analysis.

Purpose of the Study:

  • To develop an ultra-fast MRI velocimetry technique for dynamic, non-periodic systems.
  • To enable rapid, three-component velocity vector generation in under 125 ms.
  • To characterize complex flow phenomena not previously accessible by MRI.

Main Methods:

  • Extension of the GERVAIS pulse sequence using echo-planar imaging (EPI).
  • Acquisition of reference and velocity-encoded phase maps in a single excitation.
  • Generation of three-component velocity vectors.

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High-speed Particle Image Velocimetry Near Surfaces
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Determining 3D Flow Fields via Multi-camera Light Field Imaging
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Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Related Experiment Videos

Last Updated: Jun 14, 2026

Echo Particle Image Velocimetry
16:31

Echo Particle Image Velocimetry

Published on: December 27, 2012

High-speed Particle Image Velocimetry Near Surfaces
11:59

High-speed Particle Image Velocimetry Near Surfaces

Published on: June 24, 2013

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Main Results:

  • Demonstrated accuracy within 5% error compared to Poiseuille flow and Couette cell flow.
  • Successfully captured unsteady flow fields around an impeller in a stirred vessel.
  • Obtained novel velocity data of a mobile oil droplet rising through water.

Conclusions:

  • The developed ultra-fast MRI velocimetry technique is highly effective for dynamic, non-periodic systems.
  • This method significantly advances the characterization of multiphase flow systems.
  • The technique provides new experimental data for complex fluid dynamics studies.