[MINC-users] CIVET classification problem

[Jeni Chen]

Hi all,

Upon checking the results of the classified images after running CIVET, I 
notice that quite often, small portions of the grey matter in the frontal 
pole or the orbitofrontal area gets cut off. I tried playing with the N3 
parameters and re-ran CIVET but it didn't help. I was also told that the 
problem might reside in the algorithm used to extract the brain to make 
the mask (mincbet, I presume?).  Are there options/parameters that we can 
specify to improve the result of classification?

Also when looking at the verify.png file- is there a reference value to 
the ones that are indicated. In other words, when I see for example,

classified image  CSF 7.24%  GM 49.79%  WM 42.97%
native skull mask in stx space (8.75%)

what do I make of these % numbers, does that tell me whether the 
classified images are within a standard range?

Thanks!

Jeni

***********
Jen-I Chen, MSc.
Agente de recherche
Universite de Montreal
514.343.6111 x4359