Abstract #0859
Pilot Tone meets DISORDER: Improved data-driven motion-corrected brain MRI by leveraging Pilot Tone signal variations
Yannick Brackenier1,2,3, Thomas Wilkinson1,2,3, Lucilio Cordero-Grande1,2,4, Raphael Tomi-Tricot1,2,3,5, Philippa Bridgen1,2,3, Sharon Giles1,2,3, Enrico De Vita1,2,3, Shaihan J Malik1,2,3, and Joseph V Hajnal1,2,3
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3London Collaborative Ultra high field System (LoCUS), London, United Kingdom, 4Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BNN, Madrid, Spain, 5MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom
Synopsis
DISORDER is an established retrospective data driven motion correction approach that uses optimised phase encoding, but otherwise unmodified 3D acquisitions. It is highly effective, but requires multiple lines of k-space to be grouped together for each motion state to be estimated, and this limits temporal resolution. At 7T, head motion can also be detected by “Pilot Tone”, which is an injected RF signal picked up by each coil in the head receiver array, but a calibration step is required. Here we combine DISORDER and Pilot Tone to achieve integrated calibration and show that improved motion correction can result.
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