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Hi Sofia

Unfortunately that doesn't really work as the most time-intensive steps are 
required. We are working on replacing some of these with deep-learning 
equivalents, but it will be some months before that is available.

Sorry
Bruce

From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> On Behalf Of Nikolaidou, Sofia
Sent: Friday, May 12, 2023 3:34 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: [Freesurfer] recon-all for GM quantification


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Good afternoon,

My name is Sofia and I work with Drs. Eva Ratai and Lilly Mujica-Parodi on the 
DCC project. I am reaching out to ask for your advice on a FreeSurfer question.

I am using recon-all to try to quantify and compare GM volume and mean 
thickness among our subjects. In essence, I think I have all the necessary 
measurements in the outcome files titled aseg.stats and ?h.aparc.stats. Would 
you happen to know how I can customize the stream and reduce the processing 
time by taking out steps from the -all process? In other words, what would be 
the minimal set of steps that I have to run in order to acquire the above 
output files?


Thank you in advance!

Kindly,
Sofia


Sofia Nikolaidou | Clinical Research Coordinator
MGH/HST Martinos Center for Biomedical Imaging
149 13th St, Charlestown, MA 02129
Phone: 617-417-4463
snikolai...@mgh.harvard.edu<mailto:snikolai...@mgh.harvard.edu>
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