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Abstract #0425

ReImagining the Young Adult Human Connectome Project (HCP) Diffusion MRI Dataset

M. Okan Irfanoglu1, Ahmad Beyh2,3, Marco Catani2, Flavio Dell'Acqua2, and Carlo Pierpaoli1
1QMI, NIBIB/NIH, Bethesda, MD, United States, 2Natbrainlab, King's College London, London, United Kingdom, 3Laboratory of Neurobiology, Department of Cell and Developmental Biology, University College London, London, United Kingdom

Synopsis

The Human Connectome Project (HCP) has brought significant advancements in hardware, acquisition, and preprocessing. Even after a decade since its collection, the HCP diffusion MRI data is still relevant for its richness and high resolution. Noise and geometric distortions, however, are particularly pronounced in this dataset. In this work, we have reprocessed nearly the entire HCP dMRI dataset while applying several recent processing improvements. We compared the quality of the newly processed dMRI outputs to the release version. We observed clearly detectable improvements. The data originated from this new processing will be made publicly available.

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