I would like to register some ROIs in the MNI space to the T1-space of one participant.
I used auto_warp.py to to extract the transformation T1-2-MNI space and then use 3dNwarpApply to apply the inverse transformation to my ROIs. While the direct transformation looks fine (t1 to MNI), when I apply the inverse transformation my ROIs are not correctly registered. Could you please give me some advice on that?
these are the commands:
auto_warp.py -base MNI152_T1_2mm_brain.nii.gz -input PT4_T1_3D_AX_brain.nii -qblur 1 3 -unifize_input yes -save_script script -skull_strip_base no -skull_strip_input no
Hmmm … I’d like to look at this. Can you make the data files (and instructions) available to me on Dropbox or some other site?
You can send me a private message on this forum when it is ready, if you are going to do so.
I have some results for you, based on the datasets you provided. Please check your email.
Long story made short: use the @SSwarper script, not auto_warp.py, to take human brain images to MNI space. In particular, using the nonlinearly aligned MNI template gives more accurate results than the older linearly aligned template.
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