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Abstract #5338

Non-linear Realignment Using Minimum Deformation Averaging for Single-subject fMRI at Ultra-high Field

Saskia Bollmann1, Steffen Bollmann1, Alexander Puckett2, Andrew Janke1, and Markus Barth1

1Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 2Queensland Brain Institute, The University of Queensland, Brisbane, Australia

Motion dominates the contribution to variance in fMRI time series and it is therefore important to account for this variability correctly. Currently, most correction schemes use a rigid body realignment procedure, but interactions with magnetic field inhomogeneities and physiological fluctuations lead to non-linear deformations. Non-linear realignment increased spatial resolution by harvesting sub-voxel shift information with little impact on tSNR. Activated regions showed a better delineation with a clear match to anatomical features. Importantly, our proposed method can be applied to already acquired fMRI data sets to improve spatial conspicuity.

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