Hi again,

I suppose you're talking about the l1, l2 and l3 maps that you can compute. But I may be wrong. Technically, those values are just computed from the tensor decomposition in eigenvectors and eigenvalues. A tensor can be decomposed as T = V D V^{t} , where V is a matrix containing the eigenvectors and D a diagonal matrix containing the eigenvalues.

l1 is just an image of the largest value of D at each pixel. The grey value displayed is then dependent on the window/level you have set (you can see it by checking the scalar bar checkbox in the view properties toolbox). The same goes for l2 and l3 : l2 is the second largest eigenvalue at each point, l3 the smallest eigenvalue.

Is that answering your question or am I completely out of scope ?