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Abstract #5402

Correction of Gradient Artefacts in Simultaneous EEG-FMRI from Rotating Gradient Trajectories

Mark Chiew1, Jostein Holmgren2, Nadine N Graedel1, Dean Fido1, Catherine E Warnaby1, and Karla L Miller1

1FMRIB Centre, University of Oxford, Oxford, United Kingdom, 2Institute of Psychology, University of Oslo

We propose a method for correcting gradient artefacts in simultaneous EEG-FMRI that are variable from shot-to-shot, where artefacts cannot be identified via averaging. The artefact model is extracted from a data-driven decomposition that identifies the signal contributions which show geometric variation matching that of the trajectory rotation model. We show that this correction, applied to a rotating EPI trajectory, works just as well as standard approaches applied to conventionally sampled (non-rotating) EPI data. This will allow the use of more flexible sampling approaches in simultaneous EEG/FMRI that facilitate highly accelerated dynamic image reconstruction.

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