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Susceptibility weighted imaging with multiple echoes.

Christian Denk1, Alexander Rauscher

  • 1UBC MRI Research Centre, University of British Columbia, Vancouver, Canada.

Journal of Magnetic Resonance Imaging : JMRI
|December 23, 2009
PubMed
Summary
This summary is machine-generated.

Susceptibility weighted imaging (SWI) using multiple echoes improves signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), enhancing visualization of small veins. This method also enables high-resolution R(2) relaxation mapping.

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Area of Science:

  • Magnetic Resonance Imaging
  • Neuroimaging Techniques
  • Medical Physics

Background:

  • Susceptibility weighted imaging (SWI) is crucial for visualizing venous structures.
  • Current SWI methods can be limited by signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR).
  • Quantitative R(2) relaxation mapping offers valuable tissue-specific information.

Purpose of the Study:

  • To enhance SWI by incorporating multiple echoes and adapted homodyne filtering.
  • To improve SNR and CNR in venogram computation.
  • To generate high-resolution R(2) relaxation maps.

Main Methods:

  • Acquired 3D multi-echo gradient echo data (5 echoes, 13-41 ms).
  • Applied echo-time-adjusted homodyne filtering to phase images, creating phase masks.
  • Combined filtered phase and magnitude images for SWI; averaged individual images.
  • Computed R(2) relaxation maps and corrected for magnetic field inhomogeneities.

Main Results:

  • Multi-echo SWI demonstrated a 46% increase in SNR and 34-80% improvement in CNR compared to single-echo SWI.
  • Enhanced visibility of small venous vessels and reduced motion-related blurring.
  • Calculated R(2) values showed good agreement with literature data.

Conclusions:

  • Acquiring SWI with multiple echoes significantly boosts SNR and CNR.
  • This multi-echo approach facilitates the computation of high-resolution R(2) relaxation maps.
  • The advanced SWI technique offers improved diagnostic potential for neuroimaging.