• Loading very large 4d real value volumes:  was able to parallelize conversion of integer to pseudo-real value using DICOM tags Slope\Intersect.
•  Added appropriate progress message to this conversion.
• 4D PET volume (3.6 GB) is loaded in 67 sec on the 4 core laptop.

PET 4D: During the loading of the large 4D datasets, a substantial portion of the loading time is spent on calculating histogram for all timepoints and finding optimal settings for all timepoints.  Trying to find an acceptable solution to avoid these heavy calculations, which are already fully parallelized and not much chance of further speed-up.