Analysis and comparison of motion‐correction techniques in diffusion‐weighted imaging

Abstract

Motion continues to be a significant problem in MRI, producing image artifacts that can severely degrade image quality. In diffusion‐weighted imaging (DWI), the problem is amplified by the presence of large gradient fields used to produce the diffusion weighting. Three correction methods applicable for correction of specific classes of motion are described and compared. The first is based on a generalized projection onto convex sets (GPOCS) postprocessing algorithm. The second technique uses the collection of navigator echoes to track phase errors. The third technique is based on a radial‐scan data acquisition combined with a modified projection‐reconstruction algorithm. Although each technique corrects well for translations, the radial‐scan method proves to be more robust when more complex motions are present. A detailed description of the causes of MR data errors caused by rigid body motion is included as an appendix.