A robust motion correction technique for in vivo CEST-acquisitions is proposed. The algorithm exploits a low-rank plus sparse decomposition of the Z-spectrum to separate signal variations due to different off-resonance preparations from accompanying motion. The method was validated in a phantom study and subsequently used to register a CrCest acquisition of the human thigh during exercise.
This abstract and the presentation materials are available to members only; a login is required.