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Magn Reson Med. 2014 Nov;72(5):1218-32. doi: 10.1002/mrm.25026. Epub 2013 Nov 11.

Improved B0 -distortion correction in diffusion MRI using interlaced q-space sampling and constrained reconstruction.

Author information

1
Signal and Image Processing Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California, USA.

Abstract

PURPOSE:

To enable high-quality correction of susceptibility-induced geometric distortion artifacts in diffusion magnetic resonance imaging (MRI) images without increasing scan time.

THEORY AND METHODS:

A new method for distortion correction is proposed based on subsampling a generalized version of the state-of-the-art reversed-gradient distortion correction method. Rather than acquire each q-space sample multiple times with different distortions (as in the conventional reversed-gradient method), we sample each q-space point once with an interlaced sampling scheme that measures different distortions at different q-space locations. Distortion correction is achieved using a novel constrained reconstruction formulation that leverages the smoothness of diffusion data in q-space.

RESULTS:

The effectiveness of the proposed method is demonstrated with simulated and in vivo diffusion MRI data. The proposed method is substantially faster than the reversed-gradient method, and can also provide smaller intensity errors in the corrected images and smaller errors in derived quantitative diffusion parameters.

CONCLUSION:

The proposed method enables state-of-the-art distortion correction performance without increasing data acquisition time.

KEYWORDS:

B0-field inhomogeneity; constrained reconstruction; diffusion magnetic resonance imaging; distortion correction; echo-planar imaging; interlaced q-space sampling

PMID:
24464424
PMCID:
PMC4017008
DOI:
10.1002/mrm.25026
[Indexed for MEDLINE]
Free PMC Article

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