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