Bend, cross, spread, twist... TrackerYoga is a set of synthetic diffusion MRI data for testing tractography algorithms.
Below shows ground truth tracts. Synthetic data is generated using MITK Diffusion (https://www.mitk.org/wiki/MitkDiffusion) [1].
Noisy versions of images are generated by adding random signal with complex-Gaussian distribution (with variances of 2, 4 and 8 for b-values of 1000, 2000 and 3000 s/mm2 respectively.)
FODs are computed using the compartment model approach explained in [2]. FODs with both spherical harmonic orders of 8 and 16 are provided. (No processing is done before the computation of FODs.) Below shows example FODs for the 30 degree crossing.
[1] K. H. Fritzsche, P. F. Neher, I. Reicht, T. v. Bruggen, C. Goch et al., “MITK Diffusion Imaging,” Methods of Information in Medicine, vol. 51, no. 5, pp. 441–448, 2012, publisher: Schattauer GmbH.
[2] G. Tran and Y. Shi, “Fiber Orientation and Compartment Parameter Estimation From Multi-Shell Diffusion Imaging,” IEEE Transactions on Medical Imaging, vol. 34, no. 11, pp. 2320–2332, Nov. 2015.