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Updated: May 15, 2026

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Published on: December 9, 2010

Prospective and retrospective high order eddy current mitigation for diffusion weighted echo planar imaging.

Dan Xu¹, Joseph K Maier, Kevin F King

¹Applied Science Laboratory, General Electric Healthcare, Milwaukee, Wisconsin, USA.

Magnetic Resonance in Medicine

|January 18, 2013

Summary

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This study introduces a new method to reduce eddy current (EC) distortion in diffusion weighted echo planar imaging. The technique effectively corrects image distortions without needing extra post-processing steps.

Area of Science:

Medical Imaging
Physics in Medicine

Background:

Eddy currents (ECs) induce significant spatial distortions in diffusion weighted echo planar imaging (DW-EPI).
High-order spatial components of ECs pose challenges for conventional preemphasis compensation techniques.

Purpose of the Study:

To develop a method for reducing EC-induced distortion in DW-EPI.
To eliminate the need for post-acquisition image coregistration between diffusion and T2-weighted images.

Main Methods:

System-level calibration of high-order ECs in a protocol-independent manner.
Calculation of imaging protocol-specific corrections using calibrated EC amplitudes and time constants.
Combined prospective and retrospective correction during data acquisition and image reconstruction.

Keywords:

EPI artifacts diffusion MRI distortion eddy currents

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Main Results:

Significantly reduced image distortion and misregistration observed in phantom, brain, body, and whole-body DW-EPI.
Consistent improvements demonstrated with the proposed method compared to standard imaging.

Conclusions:

The proposed method effectively corrects high-order EC-induced distortion and misregistration in various DW-EPI applications.
The technique is powerful, flexible, and compatible with other image enhancements and scan planes.
No additional post-processing, prescan, or signal-to-noise ratio sacrifice is required.