10.5281/zenodo.579933
https://zenodo.org/records/579933
oai:zenodo.org:579933
Maier-Hein, Klaus
Klaus
Maier-Hein
Junior Group Medical Image Computing, German Cancer Research Center
Neher, Peter
Peter
Neher
Junior Group Medical Image Computing, German Cancer Research Center
Houde, Jean-Christophe
Jean-Christophe
Houde
Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke
Caruyer, Emmanuel
Emmanuel
Caruyer
Centre national de la recherche scientifique (CNRS), Institute for Research in IT and Random Systems (IRISA)
Daducci, Alessandro
Alessandro
Daducci
Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne
Dyrby, Tim
Tim
Dyrby
Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre
Stieltjes, Bram
Bram
Stieltjes
University Hospital Basel, Radiology & Nuclear Medicine Clinic, Basel
Descoteaux, Maxime
Maxime
Descoteaux
Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke
Tractography Challenge ISMRM 2015 High-resolution Data
Zenodo
2017
2017-05-15
10.5281/zenodo.572345
Creative Commons Attribution 4.0 International
The ground truth of this tractography validation data set was defined based on the fiber bundle geometry of a high-quality Human Connectome Project (HCP) dataset, constructed from multiple whole-brain global tractography maps. An expert radiologist extracted 25 major tracts (i.e., bundles of streamlines) from the tractogram. These association, projection and commissural fibers covered more than 70% of the white matter across the whole brain. The dataset features a brain-like macro-structure of long-range connections, mimicking an in vivo HCP-quality acquisition based on a simulated diffusion signal.