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Eddy current-nulled convex optimized diffusion encoding (EN-CODE) for distortion-free diffusion tensor imaging with

Eric Aliotta1,2, Kévin Moulin1, Daniel B Ennis1,2,3

  • 1Department of Radiological Sciences, University of California, Los Angeles, California, USA.

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|April 27, 2017
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Summary
This summary is machine-generated.

The novel eddy current-nulled convex optimized diffusion encoding (EN-CODE) sequence effectively eliminates diffusion tensor imaging distortions. This advanced DTI method offers shorter echo times and improved image quality compared to existing techniques.

Keywords:
DTIdiffusiondistortioneddy currents

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Area of Science:

  • Magnetic Resonance Imaging
  • Biomedical Engineering
  • Neuroimaging

Background:

  • Diffusion Tensor Imaging (DTI) is crucial for visualizing white matter architecture.
  • Eddy currents generated during DTI acquisition cause image distortions, limiting accuracy.
  • Existing methods for eddy current compensation have limitations in echo time (TE) or effectiveness.

Purpose of the Study:

  • To design and evaluate the eddy current-nulled convex optimized diffusion encoding (EN-CODE) gradient waveforms.
  • To achieve efficient DTI free from eddy current-induced image distortions.
  • To compare EN-CODE with existing DTI sequences.

Main Methods:

  • The EN-CODE framework was utilized to generate eddy current-compensated diffusion-encoding waveforms.
  • Comparisons were performed using simulations, phantom experiments, and neuroimaging in 10 healthy volunteers.
  • EN-CODE DTI waveforms were evaluated against twice refocused spin echo (TRSE) and monopolar (MONO) sequences.

Main Results:

  • EN-CODE achieved eddy current compensation with a shorter TE (78 ms) than TRSE (96 ms) and comparable to MONO (80 ms).
  • Intravoxel signal variance was lower with EN-CODE in phantoms, indicating robustness to distortions.
  • Mean fractional anisotropy values at brain edges were significantly lower with EN-CODE compared to MONO, and similar to TRSE.

Conclusions:

  • The EN-CODE sequence effectively eliminates eddy current-induced image distortions in DTI.
  • EN-CODE offers a comparable TE to MONO and a substantially shorter TE than TRSE.
  • This method provides a more robust and efficient approach to DTI acquisition.