Thanks, Franziska.
It seems to be a problem with partial voluming. Cerebral white matter (white 
pixels) mixes with a thin layer of cerebrospinal fluid (black pixels) and the 
result is a bunch of gray pixels that look like the pulvinar. 
Partial voluming is one of the biggest problems with these Bayesian 
segmentation methods, the price you pay for the (huge!) advantage of being 
agnostic to / robust against changes in MR contrast of the input scan...
Unfortunately, there is no easy fix for this at the moment. Normally, the 
increment in volume due to the leak is not as large as it may seem because 
segmentations are weighted by their probabilities when computing volumes.
In the future, we plan to tackle this with deep learning methods that do a 
fantastic job with partial voluming. The problems with this approach are: 1. 
Robustness against contrast changes, and (mostly) 2. Training with ex vivo data 
is tricky.
Cheers,
/Eugenio

 
Juan Eugenio Iglesias
Senior research fellow
CMIC (UCL), MGH (HMS) and CSAIL (MIT)
http://www.jeiglesias.com 
 
 

On 3/16/21, 03:32, "freesurfer-boun...@nmr.mgh.harvard.edu on behalf of 
Gronow, Franziska" <freesurfer-boun...@nmr.mgh.harvard.edu on behalf of 
franziska.gro...@uniklinikum-dresden.de> wrote:

            External Email - Use Caution        

    Dear Eugenio,

    here are the zipped norm.mgz and automated segmentations for two subjects:
    
https://secure-web.cisco.com/1NFOUrkRWZ6w5iEt9PtCxQNkjFZr9fIybWKJt1Rx3T_PB7D74Z2Par77m2PVo3Wm0nQOKU_ZQ-VZllAjpGFcJ7zfC7AlgdlnICsp__aPb0nZFYLze4Y4r4hXIerT0tQVso_xsDOOgtYVy_dklam9cgKMC-wR52zgKm5jglckTj8HXlBbyMSOoPV9vsz-z-JKtmPpLDPR8TNqyWG8oqsdSGX66xfPZQlqhlzyTmUwm1X5mSPeKecX9Fn3hcELI917WBy-1yix24jyDIneXrAWikw/https%3A%2F%2Fcloudstore.zih.tu-dresden.de%2Findex.php%2Fs%2FmzyagMpXgSmDbBo

    Hope this helps!

    Best regards,
    Franziska


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