Abstract #1955

Pilot-Tone Motion Estimation for Brain Imaging at Ultra-High Field Using FatNav Calibration

Tom Wilkinson^1,2, Yannick Brackenier^1,2, Felipe Godinez³, Raphael Tomi-Tricot^1,2,4, Jan Sedlacik^1,2, Philippa Bridgen^1,2, Sharon Giles^1,2, Joseph V Hajnal^1,2, and Shaihan J Malik^1,2

¹Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ²London Collaborative Ultra high field System (LoCUS), London, United Kingdom, ³Department of Radiology, University of California Davis, Sacramento, CA, United States, ⁴MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom

Synopsis

3D FatNavs were used to provide a rapid, robust pre-scan to calibrate motion estimation from pilot-tone. The amount of training data required to make reliable forward predictions was investigated. This method robustly predicts motion within a dataset and can be applied to other datasets with lower accuracy. Improving the accuracy and speed of this method is ongoing work. This independent method of motion estimation shows promise for rapid calibration as part of routine examinations and paves the way to offer motion correction at ultra-high field where motion-correction is particularly relevant.

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