You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Dec 11, 2021. It is now read-only.
Note that many steps are redundant since HippoDiffusion was built off an earlier version of HippUnfolding. We no longer need to worry about cropping, and code is already present to do things like interpolate between native and unfolded space, or reparamterize unfolded space according to real-world distances.
I will post an example script which demonstrates these, and will include an example subject that we can work off of
The text was updated successfully, but these errors were encountered:
I would suggest the main interface to the diffusion unfolding be something like this:
function unfold_diffusion( in_hippunfold_results_dir, in_dwi_nii, in_dwi_bvec, in_dwi_bval, in_dwi_graddev, out_unfolddwi_dir )
where in_dwi_nii is the pre-processed diffusion-weighted 4d volume in the same space as the T2w (e.g. same as T1w in case of pre-processed HCP data)
Sign up for freeto subscribe to this conversation on GitHub.
Already have an account?
Sign in.
The goal of this branch is to incorporate and simplify the code from https://github.com/uhussai7/HippoDiffusion.
Note that many steps are redundant since HippoDiffusion was built off an earlier version of HippUnfolding. We no longer need to worry about cropping, and code is already present to do things like interpolate between native and unfolded space, or reparamterize unfolded space according to real-world distances.
I will post an example script which demonstrates these, and will include an example subject that we can work off of
The text was updated successfully, but these errors were encountered: