I have processed your data.
The data is interpolated, so the original matrix was 128x128, and interpolated to 256x256 during recon, so in-plane ends up being 0.9375x0.9375. The slices are quite thick (3mm). Do you have research mode? If yes, then you can turn off the interpolation (download CV, select “rhimsize”, and change 256 to be 128).
No axis flipping was required.
Beginning with deterministic tractography, it all looks good.
I then preprocessed the data and generated the response file, FODs and probabilistic tractography. The FODs are not very clean.
So I started at the beginning and resized the data to be 3mm isotropic and then reran the pipeline. The FODs look better from coronal and sagittal (as expected), but reslicing created voxel mixing so this noise was also tracked.
Finally I ran the resized FODs through tractseg (as tractseg doesn’t like very anisotropic data) and output looks very good.
Summary: thick slices, interpolated in-plane, so very anisotropic data. Low number of diffusion directions (20).