In CEST-MRI, motion correction is compromised by the drastically changing image contrast at different frequency offsets and particularly at the direct water saturation. In this study, a simple extension for conventional image registration algorithms is proposed, enabling a robust and accurate motion correction of CEST-MRI data. Performance of different approaches was investigated using a ground truth dataset, generated from repeated 3D in vivo measurements at 3 T, corrupted with realistic random rigid motion patterns and noise. In comparison to the conventional image registration and a cutting-edge algorithm specifically developed for CEST-MRI, the proposed method achieved more accurate and robust results.
This abstract and the presentation materials are available to members only; a login is required.