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Published May 15, 2017 | Version v1
Dataset Open

Tractography Challenge ISMRM 2015 High-resolution Data

  • 1. Junior Group Medical Image Computing, German Cancer Research Center
  • 2. Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke
  • 3. Centre national de la recherche scientifique (CNRS), Institute for Research in IT and Random Systems (IRISA)
  • 4. Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne
  • 5. Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre
  • 6. University Hospital Basel, Radiology & Nuclear Medicine Clinic, Basel

Description

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. 

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Additional details

Related works

Is supplement to
10.5281/zenodo.572345 (DOI)