We offer here examples of tractograms created on carefully preprocessed data. The preprocessing choices were made after the publication of the 2015 paper, with knowledge available from the analysis of the results presented above. Feel free to use. For instance, this could be used as training set in a machine learning experiment, to avoid training on the ground truth data. Please visit the References page to cite us if you use this data.
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The general steps are as in the description in the Tractoflow documentation. Data was run with an adapted tractoflow based on version 2.3.0.
- DWI: Brain extraction, DWI denoising, Eddy/Topup, N4, Cropping, Normalization, Resampling, Extraction of fODF shells, Computation of fODF metrics.
- T1: Denoising, N4, Resampling, Brain extraction, Croping, Registration on the DWI, Segmentation of tracking/seeding maps.
- Tractography: seeding from the WM mask, npv 10, we offer here both local tracking and PFT tracking.
Modified steps were:
|WithReverse||Same as above, except 2nd timepoint of the DWI was extracted, named rev_b0 and added to the input data to allow using the topup step.|
With reverse-phase b0