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Abstract #3767

Robust image registration in CEST-acquisitions by exploiting a low-rank plus sparse decomposition of the Z-spectrum

Tobias Wech1,2 and Herbert Köstler1,2

1Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany, 2Comprehensive Heart Failure Center, University Hospital of Würzburg, Würzburg, Germany

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.

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