AutoFocus 3D\4D registrations:   in the Finetune part of the registrations, there were several parallelization levels built in, f.e a Parallel Amoeba.  However, running each thread in some scenarios, like liver registration, requires a lot of memory.  Also, except for Mutual Information, all other measures (incl URAL) are highly parallelized on the level of evaluating a single transform about the matching cost.

So parallelization was removed from Finetune, in non-MI measures. This led to a 18% speed up on 4D liver registration on Hersh's data.