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Dear Raj,
A few years ago, we published a paper on how Monte Carlo sampling could be used to quantify this. Unfortunately, the method was incredibly slow and difficult to tune, and the performance gain was tiny, so we never put it in FreeSurfer.
But this is a direction I’m still interested in, and which I’m planning to revisit in the future.
Cheers,
/Eugenio
--
Juan Eugenio Iglesias
ERC Senior Research Fellow
Centre for Medical Image Computing (CMIC)
University College London
http://www.jeiglesias.com
http://cmictig.cs.ucl.ac.uk/
From: <freesurfer-bounces@nmr.mgh.harvard.edu> on behalf of Emily K Clarke <ekc23@duke.edu>
Reply-To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Date: Wednesday, 26 September 2018 at 15:15
To: "freesurfer@nmr.mgh.harvard.edu" <freesurfer@nmr.mgh.harvard.edu>
Cc: "Dr Rajendra Morey, M.D." <rajendra.morey@duke.edu>
Subject: [Freesurfer] amygdala segmentation atlas influence
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Hello all,
I have run the amygdala segmentation in my datasets to obtain volumes of nuclei. I am aware from the fswiki that the volumes should be interpreted with caution because of the reliance on the atlas. When running FS, is there a way to get some metric about how
much the segmentation relied on the atlas relative information from the T1 being segmented. If this metric is not available to the user, is some version of it calculated by the software and therefore available internally. Thanks in advance for your help!
raj