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Updated: Jun 30, 2025

Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors
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Pre-excitation gradients for eddy current nulled convex optimized diffusion encoding (Pre-ENCODE).

Matthew J Middione1, Michael Loecher1, Xiaozhi Cao1

  • 1Department of Radiology, Stanford University, Stanford, California.

Magnetic Resonance in Medicine
|March 19, 2024
PubMed
Summary
This summary is machine-generated.

Pre-excitation gradients for eddy current-nulled convex optimized diffusion encoding (Pre-ENCODE) significantly reduce image distortions in diffusion-weighted MRI. This novel method achieves shorter echo times compared to traditional monopolar and ENCODE sequences.

Keywords:
diffusioneddy currentstime‐optimal

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Area of Science:

  • Magnetic Resonance Imaging
  • Diffusion-Weighted Imaging
  • Image Distortion Correction

Background:

  • Eddy currents are a significant source of image distortion in diffusion-weighted MRI (DWI).
  • Existing methods like monopolar (MONO) and ENCODE sequences have limitations in mitigating these distortions and achieving short echo times.
  • Minimizing echo time (TE) is crucial for reducing T2-weighted artifacts and improving image quality in DWI.

Purpose of the Study:

  • To evaluate the efficacy of pre-excitation gradients for eddy current-nulled convex optimized diffusion encoding (Pre-ENCODE) in reducing eddy current-induced distortions in DWI.
  • To compare the performance of Pre-ENCODE against conventional MONO and ENCODE sequences in terms of echo time and image distortion.

Main Methods:

  • Diffusion-weighted MRI sequences including MONO, ENCODE, and Pre-ENCODE were assessed.
  • Evaluation involved simulations, phantom experiments, and in vivo DWI in human volunteers.
  • Key metrics included minimum achievable echo time (TE) and estimation of eddy current-induced image distortions via intravoxel signal variance.

Main Results:

  • Pre-ENCODE consistently achieved shorter echo times (TE) than both MONO and ENCODE across various b-values and spatial resolutions in simulations.
  • Image distortion, measured by intravoxel signal variance, was significantly lower with Pre-ENCODE compared to MONO and comparable to ENCODE.
  • In vivo measurements showed similar global brain apparent diffusion coefficients but reduced edge distortions with Pre-ENCODE compared to MONO.

Conclusions:

  • Pre-ENCODE effectively mitigates eddy current-induced image distortions in diffusion imaging.
  • The Pre-ENCODE technique offers a shorter echo time (TE) advantage over both MONO and ENCODE sequences.
  • This advancement holds promise for improving the accuracy and reliability of diffusion-weighted MRI.