Attribution
Yes
Vanderbilt University
NITRC
Pandora White Matter Atlas
Kurt Schilling
This is a population-based collection of white matter atlases represented in both volumetric and surface coordinates in a standard space. These atlases are based on 2443 subjects, and include 216 white matter fascicles derived from 6 different state-of-the-art tractography techniques: Automated Fiber-tract Quantification, Automated Fiber-tract Quantification clipped, Recobundles, Tracula, TractSeg, and Xtract.
This work is licensed under a Creative Commons Attribution 4.0 International License.
2020-6-18
v1.0
Pandora White Matter Atlas
MR, Attribution
http://www.nitrc.org/projects/pandora_atlas/
kurt.g.schilling@vanderbilt.edu