Eddy current correction in diffusion‐weighted imaging using pairs of images acquired with opposite diffusion gradient polarity

In echo‐planar‐based diffusion‐weighted imaging (DWI) and diffusion tensor imaging (DTI), the evaluation of diffusion parameters such as apparent diffusion coefficients and anisotropy indices is affected by image distortions that arise from residual eddy currents produced by the diffusion‐sensitizing gradients. Correction methods that coregister diffusion‐weighted and non‐diffusion‐weighted images suffer from the different contrast properties inherent in these image types. Here, a postprocessing correction scheme is introduced that makes use of the inverse characteristics of distortions generated by gradients with reversed polarity. In this approach, only diffusion‐weighted images with identical contrast are included for correction. That is, non‐diffusion‐weighted images are not needed as a reference for registration. Furthermore, the acquisition of an additional dataset with moderate diffusion‐weighting as suggested by Haselgrove and Moore (Magn Reson Med 1996;36:960–964) is not required. With phantom data it is shown that the theoretically expected symmetry of distortions is preserved in the images to a very high degree, demonstrating the practicality of the new method. Results from human brain images are also presented. Magn Reson Med 51:188–193, 2004. © 2003 Wiley‐Liss, Inc.

[1]  J. E. Tanner,et al.  Spin diffusion measurements : spin echoes in the presence of a time-dependent field gradient , 1965 .

[2]  Michal Neeman,et al.  A simple method for obtaining cross‐term‐free images for diffusion anisotropy studies in NMR microimaging , 1991, Magnetic resonance in medicine.

[3]  G. Wider,et al.  Self-compensating pulsed magnetic-field gradients for short recovery times , 1994 .

[4]  M. Eis,et al.  Correction of Gradient Crosstalk and Optimization of Measurement Parameters in Diffusion MR Imaging , 1995 .

[5]  James R. Moore,et al.  Correction for distortion of echo‐planar images used to calculate the apparent diffusion coefficient , 1996, Magnetic resonance in medicine.

[6]  D. Parker,et al.  Elimination of eddy current artifacts in diffusion‐weighted echo‐planar images: The use of bipolar gradients , 1997, Magnetic resonance in medicine.

[7]  T. A. Carpenter,et al.  Optimised diffusion-weighting for measurement of apparent diffusion coefficient (ADC) in human brain. , 1997, Magnetic resonance imaging.

[8]  C. Pierpaoli,et al.  Characterization of and correction for eddy current artifacts in echo planar diffusion imaging , 1998, Magnetic resonance in medicine.

[9]  Scott T. Grafton,et al.  Automated image registration: I. General methods and intrasubject, intramodality validation. , 1998, Journal of computer assisted tomography.

[10]  M. Horsfield,et al.  Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging , 1999, Magnetic resonance in medicine.

[11]  N G Papadakis,et al.  A comparative study of acquisition schemes for diffusion tensor imaging using MRI. , 1999, Journal of magnetic resonance.

[12]  P. V. van Zijl,et al.  Three‐dimensional tracking of axonal projections in the brain by magnetic resonance imaging , 1999, Annals of neurology.

[13]  S Skare,et al.  Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI. , 2000, Journal of magnetic resonance.

[14]  C. Poupon,et al.  Regularization of Diffusion-Based Direction Maps for the Tracking of Brain White Matter Fascicles , 2000, NeuroImage.

[15]  M. Koch,et al.  An assessment of eddy current sensitivity and correction in single-shot diffusion-weighted imaging. , 2000, Physics in medicine and biology.

[16]  M E Bastin,et al.  On the use of water phantom images to calibrate and correct eddy current induced artefacts in MR diffusion tensor imaging. , 2000, Magnetic resonance imaging.

[17]  N G Papadakis,et al.  Gradient preemphasis calibration in diffusion‐weighted echo‐planar imaging , 2000, Magnetic resonance in medicine.

[18]  M E Bastin,et al.  On the use of the FLAIR technique to improve the correction of eddy current induced artefacts in MR diffusion tensor imaging. , 2001, Magnetic resonance imaging.

[19]  N. Makris,et al.  High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity , 2002, Magnetic resonance in medicine.

[20]  S. Arridge,et al.  Detection and modeling of non‐Gaussian apparent diffusion coefficient profiles in human brain data , 2002, Magnetic resonance in medicine.

[21]  V. Wedeen,et al.  Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo , 2003, Magnetic resonance in medicine.