I'm looking to perform tractography with high resolution DTI data; at 64 gradient directions, voxel sizes of 2x2x2, b-value = 1500, 3T images.
I've been reading around and found that the fODF (like CSD based, Jeurissen et al., 2011) algorithms could be an improvement over the dODFs (DSI and q-ball) and of course over the tensor-based algorithms, but there are still so many different fODF algorithms and I would like to know how to choose one or two.
I'm also interested in quantification of the streamlines from tractography, and I would like to know which are the most useful metrics derived from tractography (i.e. fiber leght, number of fibers, etc), and if a reliable way to obtain such measurements exists.