Figure 1.
3D Slicer interface with the Slicer-Editor on the left side and a loaded pituitary adenoma data set on the right side: axial slice (upper left window), sagittal slice (lower left window), coronal slice (lower right window) and the three slices shown in a 3D visualization (upper right window).
Figure 2.
These images present a typical user initialization for pituitary adenoma segmentation under Slicer with for the GrowCut algorithm: axial (left image), sagittal (middle image) and coronal (right image).
Note: the tumor has been initialized in green and the background has been initialized in yellow.
Figure 3.
These images present the segmentation result (green) of the GrowCut algorithm of Slicer: axial (left image), sagittal (middle image) and coronal (right image).
Note: the pituitary adenoma and background initialization for this segmentation result is presented in of Figure 2.
Figure 4.
These screenshots present segmentation results on a sagittal (upper row) and an axial (lower row) slice for the manual segmentation (middle images, yellow) and the Slicer-based GrowCut segmentation (right images, magenta).
Figure 5.
This image presents the 3D segmentation result of GrowCut (green) for the tumor and background initialization of Figure 2.
After the initialization of the GrowCut algorithm under Slicer it took about three seconds to get the segmentation result on an Intel Core i7 CPU, 4×2.50 GHz, 8 GB RAM, Windows 7 Professional ×64 Version, Service Pack 1.
Table 1.
Direct comparison of manual slice-by-slice and Slicer-based GrowCut segmentation results for ten pituitary adenomas via the Dice Similarity Coefficient (DSC).
Table 2.
Summary of results: min, max, mean and standard deviation
for ten pituitary adenomas.