Jon,

Do the matlab scripts work for you?  The approach you are taking with
the existing tools is the one I was considering myself but decided it
was too roundabout and probably wouldn't work for you anyway (because
mri_compute_seg_overlap looks for particular label ids corresponding to
subcortical structures), compared to the ease of just computing the dice
directly from the label files, which are just text files listing the
label coordinates.

Nick


On Thu, 2009-08-20 at 14:09 -0400, jen...@nmr.mgh.harvard.edu wrote:
> Hi Nick,
> 
>   I was actually able to convert the label files into volumes using
> mri_label2vol and then use the mri_segstats to get the total number of
> pixels from each volume file.  But the mri_compute_seg_overlap didn't
> work as easily.  I tried running the following but the results were all
> zero, which I've included as well:
> mri_compute_seg_overlap -olog text whole_amygdala_test.mgz
> ../../Round_2/HRDEV150/whole_amygdala_test2.mgz
> 
> logging overall Dice to text
> Jaccard Coefficients:
> correct ratio for label 2 = 0
> correct ratio for label 41 = 0
> correct ratio for label 3 = 0
> correct ratio for label 42 = 0
> correct ratio for label 4 = 0
> correct ratio for label 43 = 0
> correct ratio for label 17 = 0
> correct ratio for label 53 = 0
> correct ratio for label 10 = 0
> correct ratio for label 49 = 0
> correct ratio for label 11 = 0
> correct ratio for label 50 = 0
> correct ratio for label 12 = 0
> correct ratio for label 51 = 0
> correct ratio for label 13 = 0
> correct ratio for label 52 = 0
> correct ratio for label 18 = 0
> correct ratio for label 54 = 0
> correct ratio for label 26 = 0
> correct ratio for label 58 = 0
> correct ratio for label 14 = 0
> correct ratio for label 15 = 0
> correct ratio for label 5 = 0
> correct ratio for label 44 = 0
> mean +/- std = 0.0000 +/- 0.0000
> Dice Coefficients:
> label 2 = 0
> label 41 = 0
> label 3 = 0
> label 42 = 0
> label 4 = 0
> label 43 = 0
> label 17 = 0
> label 53 = 0
> label 10 = 0
> label 49 = 0
> label 11 = 0
> label 50 = 0
> label 12 = 0
> label 51 = 0
> label 13 = 0
> label 52 = 0
> label 18 = 0
> label 54 = 0
> label 26 = 0
> label 58 = 0
> label 14 = 0
> label 15 = 0
> label 5 = 0
> label 44 = 0
> mean +/- std = 0.0000 +/- 0.0000
> Overall subcortical dice =    nan
> 
> Any ideas?
> 
> Thanks
> 
> > Jon,
> >
> > None of the existing utilities will calculate the Dice of two labels (at
> > least not in a straightforward manner).  However, its easy to do in
> > matlab.
> >
> > Attached is a script to do this.  Copy it to your
> > $FREESURFER_HOME/matlab directory.
> >
> > Usage is:
> >
> > dice_labels('label1.label','label2.label')
> >
> > or just
> >
> > dice_labels('label1','label2')
> >
> >
> > this assumes the two labels were created in the same volume.
> >
> > Nick
> >
> >
> >
> > On Thu, 2009-08-20 at 12:21 -0400, jen...@nmr.mgh.harvard.edu wrote:
> >> Hi,
> >>
> >>    I need to compute the reliability of two manually traced ROIs and I
> >> was
> >> told to use the command mri_compute_seg_overlap.  However, it seems
> >> this command needs its input to be in .mgz format, but the ROIs have
> >> been saved as .label files in Freeview.  A simple renaming function
> >> does not work, so is there another way to make mri_compute_seg_overlap
> >> work with .label files?  Thanks.
> >>
> >> Best,
> >> Jon
> >> _______________________________________________
> >> Freesurfer mailing list
> >> Freesurfer@nmr.mgh.harvard.edu
> >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
> >>
> >>
> >
> 
> 

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