Hi!I have seen this: http://fsl.fmrib.ox.ac.uk/fsl/fsl-4.1.9/flirt/examples.html
To concatenate two transformations:
convert_xfm -omat AtoC.mat -concat BtoC.mat AtoB.mat
But still do not understand clearly because it is concatenating two linear matrices but as I have interpreted the paper, they concatenate one linear and on non-linear....I am lost...
Rosalia.
2014-10-07 15:08 GMT+02:00 Bryson Dietz <[log in to unmask]>:Hey Rosalia,Although, I am assuming they performed an affine transformation on the bet-ed T1 to the MNI brain, and followed with a non-linear transform using the non-bet-ed T1 to the non-bet-ed MNI. So perhaps they meant to say that they concatenated the two linear-transforms (DWI -(6DOF)> T1 -(12DOF)> MNI).This would be done using convert_xfm.The command you could use to take a linear transform and non-linear transform is applywarp (example from web page example).
applywarp --ref=example_func --in=mask_in_standard_space --warp=highres2standard_warp_inv --postmat=highres2example_func.mat --out=mask_in_functional_space2: Not sure about this point, perhaps someone else can comment.Cheers,BrysonOn Tue, Oct 7, 2014 at 8:43 AM, Rosalia Dacosta Aguayo <[log in to unmask]> wrote:- First point it says:
I have been reading a paper and I have been following its methodology step by step but there are a couple of issues I do not understand how to do and I would be very grateful if anyone of you could help me with them."A diffusion-weighted image was rigidly transformed to T1 images and each T1 image was non linearly transformed to MNI space"
Well, I have done it, but then it follows: The concatenation of these two transformations was used to transform FA images to MNI space?!! How??
- Second point it says:
....the deep white matter regions from the ICBM-DTI-81 white matter labels atlas were removed from the resulting mask?! How?? I figure that I have to binarize and set to 0 the labels from ICBM_DTI_81 atlas....but I am unsure about if this is correct....
Rosalia.
Thank you in advance for all your kindness and your time.
Yours sincerely,