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Related Experiment Video

Updated: May 23, 2026

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

Reducing artifacts in one-dimensional Fourier velocity encoding for fast and pulsatile flow.

Daeho Lee1, Juan M Santos, Bob S Hu

  • 1Magnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, California, USA. daeho.t.lee@samsung.com

Magnetic Resonance in Medicine
|March 30, 2012
PubMed
Summary

This study introduces a new MRI technique to improve peak blood flow velocity detection in valvular stenosis. The novel approach reduces artifacts, enhancing accuracy for better assessment of heart valve conditions.

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Area of Science:

  • Cardiovascular imaging
  • Magnetic Resonance Imaging (MRI)
  • Biomedical Engineering

Background:

  • Peak blood flow velocity is crucial for assessing valvular stenosis severity.
  • One-dimensional Fourier velocity encoding is a standard technique for peak velocity measurement.
  • Accuracy can be compromised by pulsatile flow, turbulence, and off-resonance effects in stenotic conditions.

Purpose of the Study:

  • To investigate a novel echo-shifted interleaved readout with a variable-density circular k-space trajectory for improved peak velocity detection in valvular stenosis.
  • To reduce sensitivity to off-resonance and suppress artifacts from pulsatile flow.

Main Methods:

  • Development and application of a novel echo-shifted interleaved readout.
  • Utilizing a variable-density circular k-space trajectory.
  • Introduction of a multipoint-traversing algorithm for gradient-waveform design.

Main Results:

  • Preliminary phantom and in vivo results show suppression of pulsatile flow artifacts compared to conventional methods.
  • The new technique demonstrates potential for improved peak velocity detection accuracy.
  • The novel trajectory enhances temporal and spatial resolutions.

Conclusions:

  • The proposed MRI technique shows promise for more accurate assessment of valvular stenosis.
  • Reduced artifacts and improved resolution can lead to better clinical evaluation of valve function.
  • Further validation is needed, but initial results are encouraging for cardiovascular imaging.