Figure 1.
Principle of the Nugget-Cut Scheme: A spherical template (left) is used as a basic structure for the segmentation graph (middle), which is created inside the image (right).
Figure 2.
Segmentation results (red) in axial and sagittal reformatting (blue arrow: position of the seed point).
Figure 3.
3D visualizations of segmentation results: segmentation nodes and triangulated segmentation result with surrounding structures (left and middle), and voxelized mask of the segmented prostate (right).
Figure 4.
Segmentation results (red) for three different cases of proposed algorithm at the axial height of the user-defined seed point (blue).
Figure 5.
Direct comparison of automatic (red) and manual (yellow) segmentation results for the same case: automatic segmentation result (left), manual segmentation (middle) and superimposed visualization of both segmentations (right).
Figure 6.
Several axial slices with automatic segmentation results (red).
The fourth slice from the left contains also the user-defined seed point from which the segmentation graph has been created.
Table 1.
Direct comparison of manual slice-by-slice and PCG-Cut segmentation results for ten prostate central glands (PCG) via the Dice Similarity Coefficient (DSC).
Table 2.
Summary of results: min, max, mean and standard deviation
for ten prostate central glands (PCG).