Antoine Lutti1, Oliver Josephs1,
Dave Thomas2, Rebecca Lawson3, Jonathan P. Roiser3,
Chloe Hutton1, Nikolaus Weiskopf1
1Wellcome Trust Centre for
Neuroimaging, Institute of Neurology, University College London, London,
United Kingdom; 2Institute of Neurology, Department of Brain
Repair & Rehabilitation, University College London, London, United
Kingdom; 3Institute of Cognitive Neuroscience, University College
London, London, United Kingdom
The use of 3D EPI for the study of brain activity has been limited due to its high sensitivity to physiological noise which counteracts its higher image SNR compared to 2D EPI. In this work, we present an optimized method for physiological noise correction of 3D EPI. The impact of the correction is stronger than for 2D EPI, showing that the higher susceptibility of 3D EPI to physiological noise can be overcome, leading to significantly higher tSNR values.
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