Hi - See my answer to Knut Jørgen about the isosurfaces. I forgot to answer the 
second part of your question: the outliers of the -stat step are tracts that 
have a very different shape from the rest, so you can check those and see if 
they failed, but hopefully any QA/reinitialization would have happened before 
the -stat step, because that step is not really designed right now to pick up 
everything that could've gone wrong with the data.
Best,
a.y

________________________________
From: freesurfer-boun...@nmr.mgh.harvard.edu 
[freesurfer-boun...@nmr.mgh.harvard.edu] on behalf of Lars M. Rimol 
[lari...@gmail.com]
Sent: Saturday, November 19, 2016 5:37 AM
To: FS maling list
Subject: [Freesurfer] quality control of tracula tractography

Hi,

I have done tracula tractography on 180 subjects, and most of my isosurfaces 
look a lot noisier than the example on the wiki. Is there any way to gauge the 
noisiness of a reconstructed path? And can that information be used for quality 
control? For instance, here 
(https://neuro.ebioscience.amc.nl/portal/web/nsg/tracula) they do not accept a 
somewhat noisy fminor.

Another source of information on outliers is the log files that are produced 
when running -trac-all -stat (based on the shape of the tract). It doesn't seem 
to flag tracts that are (almost) completely missing (see attached figure, which 
was not flagged in lh.cab_PP.avg33_mni_bbr.log) - but they may fall under the 
minimum threshold and therefore not be evaluated?

Is it recommended to automatically exclude the subjects that are flagged as 
outliers there?



Thank you!


sincerely yours,

Lars M. Rimol, PhD
Senior researcher,
Norwegian Advisory Unit for functional MRI
Department of Radiology,
St. Olav's University hospital,
7006 Trondheim,
Norway



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