Dear FSLers,
I am running a large cohort for TBSS ( >400 subjects). The final mask is not perfect (although
there do not seem to be any horrible errors at the html output from tbss 1),
and it was suggested to me to do quality control at each stage. I am still not very expert
at telling good from bad, especially at the earlier stages. What is the best approach to
do quality control at each stage? The current stage I need is bet, and I copied all the pngs
(slicer ep2ddiffCorr_b0_Merged_Ave ep2ddiffCorr_b0_Merged_Ave_BET -A 1500 ep2ddiffCorr_b0_Merged_Ave_Slicer.png)
to a directory where I could pan through them. What specifically should I be looking for in
the bet output?
Feel free to give your input on any of the stages independently.
bet (brain extraction)
dtifit
tbss 1
tbss 2
tbss 3
Thank you in advance,
Phil Baldwin
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