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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