Abstract #1684

The impact of geometric distortion correction on multisite rs-fMRI data

Nicolas Hehn^1,2, Ana Beatriz Solana Sánchez¹, Dirk Bequé¹, Nikolaos Koutsouleris³, Axel Haase², Bjoern Menze⁴, and Carlos Cabral³

¹GE Global Research, Munich, Germany, ²Department of Medical Engineering, Technische Universität München, Munich, Germany, ³Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany, ⁴Department of Informatics, Technische Universität München, Munich, Germany

This study addresses the goal of reducing site-variance in the correlation values of multisite rs-fMRI data by correcting for site-specific EPI-related geometric distortions. Three geometric distortion correction methods (B0 fieldmap and image-based unwarping) were applied separately to a calibration dataset consisting of six subjects traveling to three sites. The change of the correlation values and their site-homogeneity was evaluated in dependency of the quantified geometric distortion correction values for six networks and all subjects. It could be shown that the distortion correction had no significant impact on the correlation values and no correlation between the two parameters was found.

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