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

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

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.