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Abstract #0068

Data-driven motion-corrected brain MRI incorporating pose dependent B0 fields

Yannick Brackenier1,2, Lucilio Cordero-Grande1,2,3, Raphael Tomi-Tricot1,2,4, Tom Wilkinson1,2, Jan Sedlacik1,2, Philippa Bridgen1,2, Sharon Giles1,2, Shaihan Malik1,2, Enrico De Vita1,2, and Joseph V Hajnal1,2
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, 3Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BNN, Madrid, Spain, 4MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom

A fully data-driven retrospective motion correction reconstruction for volumetric brain MRI at 7T that includes modelling of pose-dependent changes in polarising magnetic (B0) fields in the head has been developed. Building on the DISORDER framework, the use of a physics-based B0 model constrains the number of unknowns to be found, enabling motion correction based solely on data-consistency without requiring any additional probe- or navigator-data. The proposed reconstruction was validated on an in-vivo spoiled gradient echo acquisition in which the subject deliberately moved. Substantial removal of motion artefacts was achieved.

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