Prototype of Sulci-segmentation from T2-weighted image  MS31a_T2 using HullWave algorithm

I had to try BrainMask on T2, was not able to find optimal parameters to generate full BrainMask on T2.  But result seems to be good for the upper surface of the brain relevant for Sulci-segmentation.

HullWave works with the binary brain mask obtained from T1,T2 using any segmentation algorithm (FireVoxel\EdgeWave was used in this instance).

Map of detected Sulcal depth (in 0.01 mm)

Volume Arithmetic operations on very large volumes:  Optimized the memory workflow so the operations do not fail on volumes with upto 1.5 billion voxels /timepoint.

DICOM load of very large: optimized memory workflow so no memory failure happens on 1.5 billion voxel volume.

Volume histogram calculation: optimized the memory workflow so very large volumes could be processed.  This function is part of every volume loading operation.  Added optional progress indicator.

Volume Affine transform:  optimized memory usage  and workflow so it is possible to have a destination volume exceeding 1.5 billion voxels. This includes viewing of the resulting volume (rest of the image processing operations is not guaranteed due to 32-bit limits).  Added an optional progress indicator during the Affine reslicing.

Fixing defect:  ABT   Rotate+Scale subtest with the Scale=3 produces a crash.