Prospective and retrospective motion correction in diffusion magnetic resonance imaging of the human brain
Diffusion-weighting in magnetic resonance imaging (MRI) increases the sensitivity to molecular Brownian motion, providing insight in the micro-environment of the underlying tissue types and structures. At the same time, the diffusion weighting renders the scans sensitive to other motion, including bulk patient motion. Typically, several image volumes are needed to extract diffusion information, inducing also inter-volume motion susceptibility. Bulk motion is more likely during long acquisitions, as they appear in diffusion tensor, diffusion spectrum and q-ball imaging. Image registration methods are successfully used to correct for bulk motion in other MRI time series, but their performance in diffusion-weighted MRI is limited since diffusion weighting introduces strong signal and contrast changes between serial image volumes.
Keywords: Mri ; Dti ; Hardi ; Motion detection ; FID navigators ; Brain imaging ; Multi-coil arrays ; Echo-Planar ; Navigator Echoes ; Weighted Mri ; Phase Correction ; Tracking System ; Pulse Sequence ; Clinical Dti ; Acute Stroke ; Head Motion ; Spin-Echo ; CIBM-AIT
Record created on 2012-01-05, modified on 2016-08-09