Dear FSL experts,
I have read the technical note for probabilistic tractography (Behrens et al., 2003) and was hoping that someone could help me to have a better conceptual understanding. For example, I would be grateful if someone could explain me whether BEDPOSTX is using a partial volume model to calculate probability density functions (pdfs) and then using and Markov Chain Monte Carlo sampling to build up distributions of voxel-wise principal diffusion directions (theta, phi) which are later sampled in PROBTRACKx to generate probabilistic streamlines. So that the outcome is a connectivity distribution (for a given voxel, number of samples that pass between the seed voxel and that voxel).
If that is correct, would it make sense to calculate microstructural properties (FA, MD, AD and RD) which are derived by fitting a diffusion tensor model at each voxel within the connectivity distributions obtained with probabilistic tractography?
This is what I would do for seeds that are in deep gray matter since as the technical note points out these tend to have low anisotropy.
Thank you in advance for your clarification.
Best,
Noelia
########################################################################
To unsubscribe from the FSL list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1
|