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Abstract #0567

Head Motion Tracking using an EEG-system and Retrospective Correction of High-Resolution T1-weighted MRI

Malte Laustsen1,2,3, Mads Andersen4, Rong Xue3,5,6, Kristoffer H. Madsen2,7, and Lars G. Hanson1,2
1Section for Magnetic Resonance, DTU Health Tech, Technical University of Denmark, Kgs. Lyngby, Denmark, 2Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark, 3Sino-Danish Center, University of Chinese Academy of Sciences, Beijing, China, 4Philips Healthcare, Copenhagen, Denmark, 5State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 6Beijing Institute for Brain Disorders, Beijing, China, 7DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark

Tracking and retrospective correction of high-resolution structural 3D-GRE images is accomplished with a slightly modified EEG cap and sampling system. Carbon wire loops added to the EEG cap allow for motion tracking using gradient-induced signals from native sequence elements, without the need for sequence modification, or electrode-skin contact, while requiring only a short calibration scan, and mounting of the cap. The motion estimates closely resemble estimates from interleaved navigators (mean absolute difference: [0.13,0.33,0.12]mm, [0.28,0.15,0.22]deg). Retrospective correction using carbon wire loops yield similar improvements to Average Edge Strength (12%) for images with instructed movement, and does not degrade images without motion.

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