Diffusion Imaging with Prospective Motion Correction and Reacquisition

Thomas Benner¹, Andre J.W. van der Kouwe¹, A. Gregory Sorensen¹

Subject motion is a major source of image artifacts in diffusion imaging, causing misalignment of images and erroneous values in the derived maps. A method is proposed that includes prospective motion correction as well as reacquisition of image data affected by motion. Result show that motion tracking is comparable to offline methods and that detection of images with artifacts works well. The corrected data is comparable to data acquired without subject motion at the cost of slightly increased scan time.