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Abstract #0468

Joint Estimation and Correction of Motion and Geometric Distortion in Segmented 3D Arterial Spin Labeling

Jörn Huber1, Daniel Hoinkiss1, and Matthias Günther1,2
1Fraunhofer MEVIS, Bremen, Germany, 2University of Bremen, Bremen, Germany

Assessement of CBF using Arterial Spin Labeling (ASL) can yield valuable functional information regarding different neuropathological diseases like tumors and stroke without exogenous contrast agents. However, being a subtractive technique, ASL shows high sensitivity to motion artifacts. ASL in combination with a 3D GRASE PROPELLER (3DGP) readout allows self-navigated retrospective motion correction but motion estimates using the standard reconstruction are inaccurate due to geometric distortion. In this work, a novel 3DGP reconstruction algorithm is therefore demonstrated which jointly estimates the distortion field as well as motion parameters without the need for additional reference scans.

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