Abstract #1047

A Joint Recommendation for Optimized Preprocessing of Connectom Diffusion MRI Data

Cornelius Eichner¹, Qiuyun Fan², Susie Huang², Derek Jones³, Evgeniya Kirilina¹, Michael Paquette¹, Umesh Rudrapatna³, Chantal Tax³, Qiyuan Tian², Nikolaus Weiskopf¹, and Alfred Anwander¹

¹Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, ²Martinos Center for Biomedical Imaging, MGH, Boston, MA, United States, ³CUBRIC, Cardiff University Brain Research Imaging Centre, Cadiff, United Kingdom

The possibility of acquiring diffusion MRI data with extremely high resolution and strong diffusion weighting imposes new challenges on the preprocessing. In a joint effort, all research institutions with the availability of a human MRI system with 300 mT/m maximum gradient strength compared their respective processing pipelines and converged towards a joint recommendation for high-quality dMRI preprocessing. The joint pipeline represents the current state-of-the-art of dMRI image processing and will be made available to other researchers. The result of this joint effort promises better reproducibility of diffusion MRI results.

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