Dear SPM people,
We have a study where we acquired functional data on different days. For
each of the 16 subjects, we have EPI images and T1 images for each of
the days. Within each day the T1 and EPI are aligned, but the EPI 's are
relatively different (full brain on one day, partial on another). Our
question is now, how to preprocess the data in the cleanest way? We
thought of the following (but don't quite know how to implement it):
step 1: normalise the T1 of the first day -> xxx_sn.mat
step 2: corregister the T1day1 and T1day2
step 3: apply the same corregistration to all EPIday2
step 4: normalise the EPIday1 using only the xxx_sn.mat of step 1 and
all the EPIday2 using the same sn.mat but after corregistering them
according to the corregistration function of step 2.
Does that make sense? How can we combine two functions (normalisation
and corregistration) in one step, without writing the corregistered
images in step 3 and then normalise them - this extra writing probably
decreases image quality.
Any idea's would be greatly appreciated
--
Christian Keysers, PhD
Assistant Professor
BCN Neuro-Imaging Center
University of Groningen
Antonius Deusinglaan 2 (room 120)
9713 AW Groningen
Phone: +31 50 3638794
Fax: +31 50 3638875
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