Closed foxet closed 5 years ago
Yes you can safely ignore it.
It's just so you know the brute2fine optimizer cannot precompute nice grid of signal values for evenly spaced model parameters, because in the smt-noddi model we give different fixed parameters for each voxel (from the first smt step). Precomputing is faster, but doing it voxel-wise cannot be avoided when having different starting parameters for each voxel (in the current implementation).
I'm trying smt_noddi use my own data
(second fit) "Cannot estimate signal grid with voxel-dependent x0_vector." Can i ignore this ?