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Hi,

There is actually many children in the training set used to create the
model. Is there any difference in presence of bias field effects between
the adults and children? You could try running

brain extracting -> bias field estimation with FAST -> apply correction to
whole head image -> the run FIRST

Cheers,

Brian

> Hi,
>
> I am trying to segment cerebellum using FIRST on small group of subjects
> that
> consists of adults and children. I am really impressed by the segmentation
> that
> I get on adults, but the segmentation on children images are
> underestimating
> the cerebellum by about 5 mm towards the bottom and sides.
>
> I was wondering if there are any parameters I can adjust, or different
> models
> that are available for children.
>
> I am using the following commands to get the segmentation. (I believe
> somebody has posted these here a few months ago, thanks :) ). "T1" refers
> to
> an MPRAGE sequence, it is *not* brain stripped.
>
> Thanks in advance for any input you can provide.
>
> Deniz.
>
> run_first_all -i T1.nii.gz -o T1_out
>
> first_flirt T1 T1_to_std_sub -cort
> run_first -i T1 -t T1_to_std_sub_cort.mat -n 40 -o T1_R_Cereb -m
> ${FSLDIR}/data/first/models_336_bin/intref_puta/R_Cereb.bmv -intref
> ${FSLDIR}/data/first/models_336_bin/05mm/R_Puta_05mm.bmv
> first_boundary_corr -s T1_R_Cereb -i T1 -b fast -o T1_R_Cereb_corrected
>
>