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Abstract #2921

Kurtosis Imaging Network: a Collaborative, Open-Source Imaging Database

Rachael LeeAnn Deardorff 1 , Emilie T McKinnon 1 , Tara Eckenrode Sokolowski 1 , Jens H Jensen 1 , Masaaki Hori 2 , Varan Govind 3 , and Joseph A Helpern 1

1 Department of Radiology & Radiological Science, Medical University of South Carolina, Charleston, South Carolina, United States, 2 Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan, 3 Miller School of Medicine, University of Miami, Miami, Florida, United States

Kurtosis Imaging Network (KIN) will create an open source database for normal healthy controls to establish a standard range of kurtosis values within each population. This database will also allow for quantitative comparisons between sites, vendors, and various protocol parameters. Finally, KIN will also help develop a strong collaborative research network for troubleshooting and creating future studies. We have initially analyzed data from 5 selected sites and although protocol parameters and vendors differed between groups, the diffusion metrics in the body of the corpus callosum for healthy controls were not significantly different.

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