Disadvantage of "EdgeWave+Blanket" segmentation approach is the need for manually constructed blanket.

Attempt was made to automatically generate a suitable blanket.

a) A seed was placed on the cortex, same seed would be later reused for the final segmentation.

b) EdgeWave CG ran with some general parameters so roughly to capture cortex.

c)  Inflate the resulting ROI by 4mm.
d) Fill the contours 2D (F7).

This result we call AutoBlanket and it is called AutoBlanket

"Good Case-1"   result of AutoBlanket.

  Then we clip the image by the Blanket ROI and run EdgeWaveCG second time, we the new parameters to capture the Whole Kidney.











Final Result:  AutoBlanket (Red) in the background.  Whole Kidney mask is Green (Overlay)

Same approach for "Bad Case-2"

"Bad Case-1"  Whole Kidney

"Bad Case-2"  Whole Kidney

Preliminary result for the Whole Kidney ROI from Arterial Phase.

All 3 example uses  "EdgeWave with Blanket" functionality with the default parameters.
User only presses Accept button.

Blanket ROI was constructed with 5 contours in Axial projection (then morphed).

"Good case 1" - Whole Kidney ROI from Arterial phase.

"Bad Case 1" - whole Kidney ROI from Arterial Phase.

"Bad Case 2" - Whole Kidney ROI

1.  Defect:  when multilayer entity is Rotated (MainMenu>3D Projection>Rotate & Create new volume"), the layer Enable attributes were not properly transferred.

2.  Defect:  MainMenu>3D Projection>Rotate Ortho :  layer attributes were not transferred from Source to Target.

3.  Dynamic Modelling: Warning displayed when Concentration conversion is specified (Tissue and\or IF) and there are less than 3 timepoints are present.

4.  Fixed the defect in VolCleanMask.  This was detected by malfunctioning "EdgeWave+Blanket" function.

FireVoxel  259A is released.