[Mne_analysis] Inconsistent surfaces extracted using watershed

[Davide Momi]

        External Email - Use Caution        

Dear MNE expert,

I am working with a EEG dataset and I wish to run source on that.
Unfortunately the T1w are not FLASH and I know that in the absence of FLASH
images, MNE offers a somewhat less accurate
solution based on the watershed algorithm (see Jas et al., 2018).

Indeed for some subjects in my dataset (see attached 1) I got the following
error when I am going to run make_bem_model.

RuntimeError: Surface inner skull is not completely inside surface outer
skull

For other subject instead the surfaces are simply wrong (see attached 2),
even though make_bem_model hadn't give me any error

I was wondering whether if you have some tips on how to fix them.

Thanks

Dave
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20200121/4c3f1047/attachment-0001.html 
-------------- next part --------------
A non-text attachment was scrubbed...
Name: 1.png
Type: image/png
Size: 75536 bytes
Desc: not available
Url : http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20200121/4c3f1047/attachment-0002.png 
-------------- next part --------------
A non-text attachment was scrubbed...
Name: 72752038-34c66200-3b8f-11ea-9b5b-5620ce8cd13f.png
Type: image/png
Size: 74634 bytes
Desc: not available
Url : http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20200121/4c3f1047/attachment-0003.png