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Retrospective distortion correction for 3D MR diffusion tensor microscopy using mutual information and fourier deformations
Author(s) -
Mistry Nilesh N.,
Hsu Edward W.
Publication year - 2006
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.20949
Subject(s) - diffusion mri , mutual information , computer science , image registration , distortion (music) , artificial intelligence , affine transformation , computer vision , fourier transform , pixel , structure tensor , visualization , entropy (arrow of time) , pattern recognition (psychology) , algorithm , magnetic resonance imaging , nuclear magnetic resonance , mathematics , image (mathematics) , physics , medicine , radiology , geometry , amplifier , computer network , mathematical analysis , bandwidth (computing) , quantum mechanics
Magnetic resonance diffusion tensor imaging (DTI) can be complicated by distortions that contribute to errors in tissue characterization and loss of fine structures. This work presents a correction scheme based on retrospective registration via mutual information (MI), using Fourier transform (FT)‐based deformations to enhance the reliability of the entropy‐based image registration. The registration methodology is applied to correct distortions in 3D high‐resolution DTI datasets, incorporating a complete set of affine deformations. The results demonstrate that the proposed methodology can consistently and significantly reduce the number of misregistered pixels, leading to marked improvement in the visualization of internal brain white matter (WM) structure via DTI. Post‐registration analysis revealed that eddy‐current effects cannot fully account for the observed image distortions. Combined, these findings support the non‐model‐based, postprocessing approach for correcting distortions, and demonstrate the advantages of combining FT‐based deformations and MI registration to enhance the practical utility of DTI. Magn Reson Med, 2006. © 2006 Wiley‐Liss, Inc.