Specifically for calculating distance of the fit of 2 curves that are sampled at highly uneven intervals:  Implemented the function for L2 integration based distance for two functions F(t) and G(t).  Perform exact integration of 2 piecewise linear functions.

Replace the "goodness of the fit" with the new integration function.  Old function was simply a sum of difference at sampled timepoints that was giving unjust weight to the beginning of the curve were sampling was much more dense.

Corrected defect:   after IDIF is segmented, the TAC dialog pops up and now correctly displays the size of the vessel in (mm3) and appends it to the name of the vessel correctly.

MG tumor patient:   created a well-registered  MR-PET overlay.  Included an easy and well working Macroseed.  Uploading this to SkyDrive along with FireVoxel Build 129A.

Substantially increased quality of the registration of PET to MRI in the new version comparing to the variant of registration used by Anne.  This is for the patient MG.  (old=left, right=Build 129A).
Also, with the respect to "reconstructing  PET with MRI priors", notice a very large angle between MRI and PET in the original data.

And new registration result in multiple projections:

Temporarily disabled the parallel version of Amoeba optimization in the Finetune stage of the registration.  This is until we moved to 64-bit code.  This is due to high memory requirement by
certain registration measures, such as URAL. At 64-bit memory above 3GB (under Win) will be accessible.