Hello,
I have a dataset with a few noicy scans (images) with 0 values in the
frontal cortex. I will regress those out of the model by adding a separate
regressor for each scan to take out.
The problem I am running into is that SPM8 creates an implicit mask of
images with voxels below a certain threshold (default value 0,8 of global
mean) As the noicy scans have values of 0 in them, lowering the implicit
mask threshold will not help.
Is there a way to shut of the masking in the model setup completely?
Or should I instead replace the bad images with the mean value of the prior
and latter scan, as ART_repair does?
Best
Clas
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