stnava
maybe - you would have to implement the point to continuous index transform. indices map to a specific part of memory ( pixel / voxel ) - it has no...
> indices map to a specific part of memory ( pixel / voxel ) - it has no concept of interpolation index access is fast + cheap b/c there is...
the reason I know this is b/c I was there in the early 2000s when the original itk implementation discussions were had.
If this has nothing to do with indexing then why are you using that method at all? I am completely confused about what you want to do here now On...
OK. But then you are really outside of what we are trying to support here within the core package. The definition of point to index transformations and things like that...
interesting question but we have no good answer. i guess one more option would be the MNI multi-subject template dataset (also has many tissues and labels outside of cerebrum).
hi - thx for this - I would like to see more evidence that this strategy leads to wheels that are truly portable. unfortunately, I don't have time right now...
thanks for breaking it down in terms of primary steps: 1. ` help( ants.apply_transforms_to_points ) ` be sure to get the fwd / inverses correct by setting which to invert...
I would also recommend building some very easy / simple examples and tests to move this forward - we can review via pull request.
you can do a work around via the following observation : if the metric is roughly linear then you can apply weights to the images directly. e.g. w \* <...