Hi,
I am transforming an anatomical dataset to a template in Talairach space using @auto_tlrc.
The transformed anatomical images match the template not very well (e.g. look at the corpus callosum, where the crosses are, or at the ventricles, or at the cerebellum, or at the cingulate gyrus).
I wonder if this is what I have to expect from the warping procedure or if I can get better results.
Please find attached a picture of the tranformed (2 subjects) and of the template images.
Each column is a different subject.
The central colummn shows TT_N27+tlrc.
I am using AFNI version=AFNI_2008_07_18_1710 (Nov 22 2008) [64-bit]
This is how I ran the command:
@auto_tlrc -input hr20_3D_ROT+orig\
-base TT_N27+tlrc \
-suffix _ss
And the following is some of the output I got running the command:
Parsing ...
Center distance of 18.027756 mm
Padding ...
Skull Stripping ...
Resampling ...
Clipping -0.000100 5178.000100 ...
Registration (quintic final interpolation) ...
RMS[0] = 77.8665 49.3901 ITER = 12/137
Warping has converged.
Thank you,
Davide