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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