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Abstract #5031

Head Pose Prediction for Prospectively-Corrected EPI During Rapid Subject Motion

Julian Maclaren1, Rainer Boegle1, Michael Herbst1, Jrgen Hennig1, Maxim Zaitsev1

1Medical Physics, Dept. of Diagnostic Radiology, University Hospital Freiburg, Freiburg, Germany

The final goal of this project is fMRI of moving subjects using prospective motion correction. An optical tracking system provides head pose data in six degrees of freedom, which are used to prospectively update the imaging volume. However, latency delays in the tracking system, and the effective echo time of the sequence, result in a time lag between position measurement and the acquisition of the central k-space line. This causes in errors in slice registration. This work shows that motion prediction using a Kalman filter can solve this problem.