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Hello.
We are running mri_deface on subjects from ABCD (Adolescent Brain Cognitive
Development) study and many of the subjects are failing on mri_deface.
$ mri_deface t1.nii.gz
> $FREESURFER_HOME/average/talairach_mixed_with_skull.gca
> $FREESURFER_HOME/average/face.gca defaced.nii.gz
> logging results to defaced.nii.log
> reading '/usr/local/freesurfer/average/talairach_mixed_with_skull.gca'...
> reading 't1.nii.gz'...
> changing type of input volume to 8 bits/voxel...
> MRIchangeType: Building histogram
> bounding unknown intensity as < 10.3 or > 1461.6
> total sample mean = 111.8 (0 zeros)
> spacing=8, using 2055 sample points, tol=1.00e-03...
> resetting wm mean[0]: 143 --> 144
> resetting gm mean[0]: 89 --> 89
> input volume #1 is the most T1-like
> using real data threshold=11.0
> skull bounding box = (54, 38, 18) --> (205, 255, 220)
> using (104, 110, 119) as brain centroid...
> mean wm in atlas = 144, using box (85,83,94) --> (122, 136,143) to find
> MRI wm
> before smoothing, mri peak at 79
> robust fit to distribution - 80 +- 8.7
> distribution too broad for accurate scaling - disabling
> WARNING2: gca.c::GCAhistoScaleImageIntensities: h_mri->nbins=111,
> mri_peak=140
> after smoothing, mri peak at 0, scaling input intensities by inf
> GCAhistoScaleImageIntensities: could not find wm peak
> Numerical result out of range
Should talairach_mixed_with_skull.gca template work with pediatric
subjects? Or is there a different template we must choose? Or maybe any
parameters that we could tweak to get it work better?
Thanks!
Soichi