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Monday, May 12, 2014

Added the "Detect Bright Ridges" function to the User Interface.

Operating volume - user specified increase in the resolution of the resulting "Ridges".  It is practical experience that skeletons might benefit from the increase in resolution since their width of 1 voxels is used to simulate the objects of 0-thickness.  "Increase resolution coefficient" in practice range from 1 to 3.
Interpolation - specifies the algorithm used in image upscaling.

Background detection is a part of the algorithm.  Background is detected by overall smoothing of the volume.  User has to specify  "Radius (vox)" and the type of the smoothing Kernel.

Output parameter - specifies the result of the processing.
Elevation Map - Signal intensity volume specifying the likelihood that corresponding voxel is a ridge.
Ridge Mask:  Binary ROI representing wide ridges.
Skeleton Mask:  Centerlines of the Ridges represented as binary volumes.
Volume Constrained Smoothing function:  updated and corrected defects to allow a Single Slice volume processing.
Liver DCDI: case DA: whole liver calculation