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Abstract #0298

Towards a prospective motion correction for the clinic: increasing the accuracy and robustness of collapsed FatNav

Enrico Avventi1,2, Henric Ryden1, Ola Norbeck1,2, and Stefan Skare1,2

1Neuroradiology, Karolinska University Hospital, Stockholm, Sweden, 2Karolinska Institutet, Stockholm, Sweden

Collapsed FatNav is a navigator for prospective motion correction which samples the signal from the fat around the skull collapsed along three orthogonal directions with consecutive EPI readouts. The six rigid body motion parameters can be obtained by performing a 2D/3D projection-based registration. In this work we have greatly improved collapsed FatNav's accuracy and precision. Additionally, by combining with PROPELLER's retrospective correction, we can obtain image quality typical of images acquired without motion.

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