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Improved B 0 ‐distortion correction in diffusion MRI using interlaced q‐space sampling and constrained reconstruction
Author(s) -
Bhushan Chitresh,
Joshi Anand A.,
Leahy Richard M.,
Haldar Justin P.
Publication year - 2014
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.25026
Subject(s) - distortion (music) , smoothness , sampling (signal processing) , k space , diffusion , diffusion mri , algorithm , computer science , sample (material) , point (geometry) , mathematics , artificial intelligence , computer vision , magnetic resonance imaging , physics , mathematical analysis , geometry , filter (signal processing) , medicine , computer network , amplifier , bandwidth (computing) , fourier transform , radiology , thermodynamics
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. Magn Reson Med 72:1218–1232, 2014. © 2013 Wiley Periodicals, Inc.