Original Fibercup - Data

The first runs of the Tractometer system were based on the FiberCup data. This is the basic data from which local estimations can be computed. From those local estimations, tracts are then computed.

We provide you with preformated data. The FiberCup dataset consists of 2 acquisitions, each acquired at 3 different b-values. There also is an averaged acquisition, which consists of the average of both acquisitions. In the results section, the first acquisition is represented by a name starting by Acquisition #1, the second one by a name starting with Acquisition #2, and the averaged one, by Acquisition averaged.

The acquisitions are available in the Nifti format. Each image consists of a b=0 image, followed by the images representing each acquisition direction. The gradient directions file is also available. The same gradient directions were used for each acquisition. The first direction in the file is (0, 0, 0), which corresponds to the b=0 image as the first subvolume.

IMPORTANT NOTE: If you wish to publish a paper citing the Tractometer and using the FiberCup data, please make sure that you include the three references in this page. For more information, see the References page.

  • Poupon, C., Laribiere, L., Tournier, G., Bernard, J., Fournier, D., Fillard, P., Descoteaux, M., et al. (2010). A Diffusion Hardware Phantom Looking Like a Coronal Brain Slice. Proceedings of the International Society for Magnetic Resonance in Medicine.
  • Fillard, P., Descoteaux, M., Goh, A., Gouttard, S., Jeurissen, B., Malcolm, J., Ramirez-Manzanares, A., et al. (2011). Quantitative Evaluation of 10 Tractography Algorithms on a Realistic Diffusion MR Phantom. NeuroImage, 56(1), 234–220.
  • Poupon, C., Rieul, B., Kezele, I., Perrin, M., Poupon, F., & Mangin, J.-F. (2008). New Diffusion phantoms dedicated to the study and validation of HARDI models. Magnetic Resonance in Medicine, 60, 1276–1283.