[MINC-users] linear and non linear in the jacobian

[Jamila Ahdidan]

Dear all,
  Here is a question that has given me some troubles, and I have seen that SPM5 solves the issue, but what about minc???
  Here it comes,
  I am interested in accounting for the linear (12 parameters) and non linear transformations in the determinant of the jacobian in order to measure all the differences between groups. It seems like SPM5 can do this, but how can I do it with minc. I know that the determinant of the jacobian can be calculated applying "mincblob -determinant" to the grid file (accounting only for the non-linear normalization). The question is how can I calculate the determinant for both the linear and non-linear normalization?
   
  I hope my question is clear and that someone somewhere has an answer to it. 
   
  Many regards,
  Jamila

       
---------------------------------
Be a better friend, newshound, and know-it-all with Yahoo! Mobile.  Try it now.