Hi there,
in our dataset there is some degree of head movement between tasks that have been acquired within one session. That's obviously also evident in the fieldmap relative to the EPI data to be unwarped. So I was wondering about how much head movement is acceptable so that the fieldmap is still validly applied to unwarp the EPI and how I can assess this quantitatively.
Ideally I'd like to have a similar displacement assessment as for MCFLIRT motion correction of the EPI data (prestats in feat), with a displacement (in mm) between the EPI and the fieldmap data. Is this possible at all, and if so how?
Thanks very much in advance for any suggestions.
Best wishes,
Torsten
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