Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here