Thomas Benner1, Andre J. W. van Der Kouwe1,
A. G. Sorensen1
Subject motion is a major source of image artifacts in DTI, causing misalignment of images, blurriness and erroneous values in the derived maps. A method that combines prospective motion correction with reacquisition of image data affected by motion is tested in a clinical subject population. Results show that motion tracking works well as does detection of images with artifacts. The corrected data is free of artifacts that are visible in the uncorrected images.