Hi Steve,
Indeed, I do not get a good registration result when using the registration
tab options in Feat. However, with some extra steps I can register my data
to standard space.
One approach would be to register the orginal data to an intermediate form
from which I can use the Feat gui options at the first level. However, that
means that I will start manipulating the data before I applied
pre-processing. I am not sure how good or bad that is?
Alternatively, I could manually register the filtered_func data. However,
then I need to override the check on the registration at the start of the
higher level stats and provide an example_func2standard.mat that will not
change my manual registration again.
Is this possible? And if so, how?
Thanks,
Niels
|