Abstract #0122

Motion Estimation for Brain Imaging at Ultra-High Field Using Pilot-Tone: Comparison with DISORDER Motion Compensation

Tom Wilkinson^1,2, Felipe Godinez^1,2, Yannick Brackenier^1,2, Raphael Tomi-Tricot^1,2,3, Lucilio Cordero-Grande^1,2,4, Philippa Bridgen^1,2, Sharon Giles^1,2, Joseph V Hajnal^1,2, and Shaihan J Malik^1,2

¹Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom, ²Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom, ³MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, ⁴Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BNN, Madrid, Spain

A ‘pilot-tone’ implementation for 7T head MRI was constructed by broadcasting RF at the appropriate frequency into the scanner room during data acquisition. This signal was demonstrated to enable motion estimation, when calibrated first by correlating measurements with motion estimates from image registration. Subsequently these estimates were compared with others obtained from the iterative DISORDER joint motion estimation & reconstruction method. These independent methods of motion estimation can potentially improve or replace other methods of motion correction at ultra-high field where motion-correction is particularly relevant.

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