Hi
We don’t generally recommend resampling the diffusion data, as this means fiddling with the bvecs (as well as loosing spatial resolution). Also, when the transform is nonlinear, this means you need a different bvecs for every voxel of the brain.
Note that if you are intending to use probtrackx, then there is no need for you to resample the diffusion data. You can provide probtrackx with either linear or nonlinear transforms from seed space to diffusion space and they are taken into account internally. You do need to use the FLIRT/FNIRT types of warps though. I don’t know what the ANTs conventions are for representing transforms.
Cheers,
Saad
> On 12 Jul 2019, at 20:50, Matthew Hoptman <[log in to unmask]> wrote:
>
> Hi all,
> I am using a registration method (ANTs) to register a DTI b0 image to a T2-weighted image. I need to adjust the bvecs file to the new space. Is there a way to apply either the affine or a nonlinear warp field to a bvecs file (i.e., something like rotbvecs, but with the same matrix multiple times applied to each vector)?
>
> Thanks,
> Matt
>
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