Hi again, Luigi,

this sentence that you wrote summarizes everything pretty well:
"I think that the posterior files outputted by freesurfer are missing the final 
step of required to each voxel to the single label with the highest posterior 
prob."
We will implement this in the next FS release.

Regarding how the discrete labels are computed:
For each voxel, one would look at all the posterior probabilities, and assign 
the label corresponding to the largest posterior. There is a small chance that 
there is a tie between 2 (or more) classes; in that case, you can pick between 
those classes at random.

Cheers,

/Eugenio



Juan Eugenio Iglesias
Postdoctoral researcher BCBL
www.jeiglesias.com
www.bcbl.eu

Legal disclaimer/Aviso legal/Lege-oharra: www.bcbl.eu/legal-disclaimer


----- Original Message -----
From: "Luigi Antelmi" <luigi.ante...@gmail.com>
To: "e iglesias" <e.igles...@bcbl.eu>, freesurfer@nmr.mgh.harvard.edu
Sent: Tuesday, September 9, 2014 11:48:10 AM
Subject: Re: [Freesurfer] hippocampal subfields: from posterior to binary masks

Dear Eugenio, 

"assign to each voxel the label with the highest posterior probability" implies 
that each voxel must belong to one and only one label, right? 

I've found that this is not the case with the posterior_*.mgz files outputted 
by freesurfer, where each voxel (especially the ones with the lower prob 
values) can belong to multiple labels. 

The passages I've done to come up at this conclusion was: 
1) binarize all the posterior maps 
2) summing them up 
3) search for values greater than 1 
4) if there are values >1, then there are voxels belonging to multiple labels. 

I've found voxels belonging to 7 different labels at the same time! 

I think that the posterior files outputted by freesurfer are missing the final 
step of required to each voxel to the single label with the highest posterior 
prob. 

I think that a clarification from the developers is needed here. 

Best regards, 
Luigi. 
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