align_epi_anat.py has -partial_… options that might help. Still, it can be difficult depending on how much spatial structure there is in the anatomical datasets. It’s usually best to acquire partial coverage datasets with a full brain dataset, and then use alignment of that full brain dataset to pull the partial one as a kind of follower dataset.
thank you for your helpful suggestions!
Based on your feedback, I finally managed to successfully coregister the b0 image to the hires space via the anat using the align_eip_anat.py, 3dQwarp and 3dNwarpApply commands (cf. attached image top 2 rows vs bottom 3 rows).
For some reason I was under the impression that you have to go through MNI space, which very much complicates the process with more affine transformation matrices and warps to integrate into 3dNwarpApply, which I was not able to do. Thankfully that was not necessary after all.
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National Institute of Mental Health (NIMH) is part of the National Institutes of
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