Hello,
I used 3dSeg to segment the brain volume into tissue classes from my 3dMVM output in the previous message. See the code below.
3dSeg -anat Test3.nii -mask AUTO \
-classes 'CSF ; GM ; WM' \
-bias_fwhm 25 -mixfrac UNI -main_N 5 \
-blur_meth BFT \
-prefix Test3WM

I received the following errors and warnings. How do I fix these errors and warnings?
*+ WARNING: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
*+ WARNING: ss.cp+tlrc[1] scale to shorts mean misfit error = 15.6% -- ** Take Care
+ a) Numerical precision has been lost when truncating results
from 32-bit floating point to 16-bit integers (shorts).
+ b) Consider writing datasets out in float format.
In most AFNI programs, use the '-float' option.
+ c) This warning is a new message, but is an old issue
that arises when storing results in an integer format.
+ d) Don't panic! These messages likely originate in peripheral
or unimportant voxels. They mean that you must examine your output.
"Assess the situation and keep a calm head about you,
because it doesn't do anybody any good to panic."
++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
*+ WARNING: ss.cp+tlrc[3] scale to shorts mean misfit error = 16.7% -- ** Take Care
*+ WARNING: ss.cp+tlrc[5] scale to shorts mean misfit error = 17.5% -- ** Take Care
*+ WARNING: ss.cp+tlrc[7] scale to shorts mean misfit error = 17.8% -- ** Take Care
-- Error SUMA_Class_stats (SUMA_SegFunc.c:5474):
Bad parameters for class CSF
-- Error SUMA_Class_stats (SUMA_SegFunc.c:5474):
Bad parameters for class GM
-- Error SUMA_Class_stats (SUMA_SegFunc.c:5474):
Bad parameters for class WM
Bad Stats At SUMA_Class_stats() exit:
Class Key num mean stdv meanL stdvL mix init.mix
CSF 1 204 -nan 0 -nan 0 0.0001 0.333333
GM 2 204 -nan 0 -nan 0 0.0001 0.333333
WM 3 204 -nan 0 -nan 0 0.0001 0.333333
-- Error SUMA_SegEngine (SUMA_3dSeg.c:637):
Failed in class stats
-- Error 3dSeg (SUMA_3dSeg.c:1019):
Failed in SUMA_SegEngine

Thanks,
Lisa