[Insight-users] normalized histogram mutual information metric

[Christos Panagiotou]

hi all

i am trying to use the normalized mutual information histogram image to 
image metric.
i ve altered the already existing insight application called 
MultiResMIRegistration to integrate
the above metric and an affine transformation instead of the existing 
rigid body.

I wanted to integrate the normalized version of the metric as its 
supposed to be invariant to overlap
(Studholme et all, "An overlap invariant entropy measure of 3d medical 
image alignment")

as i said i use the MultiResMIRegistration which centers the 
images/volumes before the registration procedure.
i ve the metric and an optimizer (gradient descent optimizer is what i 
use at the moment)
to the MultiResolutionImageRegistrationMethod however when i run it, i 
still get the overlap exception ...

is this metric supposed to decrease the chances of the overlap exception 
or it should totaly eliminate them and
then something else wrong is happening with my code?

regards
christos