Regarding to oblique dataset

Hi experts!

I’m doing retinotopic mapping by using @RetinoProc with oblique epi images (axial to calcarine sulcus).
To match the oblique epi and sagittal image of T1, the oblique epi images were transformed deobliquely by using ‘3dWarp -deoblique’ before running @RetinoProc, while T1 had no transformation.

But when running @RetinoProc, warning message that is
“If you are performing spatial transformations on an oblique dset,
such as ./__tt_AVol+orig.BRIK, or viewing/combining it with volumes of differing obliquity, you should consider running:
3dWarp -deoblique
on this and other oblique datasets in the same session.
++ Oblique dataset:./__tt_AVol+orig.BRIK is 7.650270 degrees from plumb.”

Do I need to make T1 deoblique too? Or could you please look at my deoblique commands?
If there is something to forego before @RetinoProc, please let me know all of things.
Thank you!

3dWarp -deoblique -prefix sbj1_CCW3_algntoMP

If your T1 dataset is cardinal (not oblique), you’re probably okay and can ignore the warnings. If both are oblique, also consider using the -card2oblique option instead to match the obliquity between both datasets.

Thank you for your reply.
But when I use card2oblique (is this command to make dataset oblique?) to match T1 to oblique epi, @RetinoProc did not finished completely. So I thought that input datasets of @RetinoProc have to be not oblique. Is this right?

What is the error message?