Hi all,
I have a PET image from a patient, and would like to compare it voxel-wise to a group of healthy controls (let's say N=15) to see if the patient is an 'outlier' in any voxels.
Ideally, for each voxel, I would perform the nonparametric-equivalent of a one-sample t-test, with the patients' value at that voxel as the reference value against which all the controls values are tested. From what I read, randomize wouldn't seem to do this, but I wonder if I could somehow implement a strategy similar to that used by the outlier detection algorithm.
Thanks!
Marco
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