3-D segmentation of MR brain images using seeded region growing
Robert K. Justice, Ernest M. Stokely · 2002
A simple yet accurate method for segmenting magnetic resonance (MR) brain images has been implemented. The semi-automatic technique carries out region growing in all three dimensions guided by initial seed points. Seed voxels may be specified interactively with a mouse or automatically through the selection of intensity thresholds. The 3-D seeded region growing (3-D SRG) algorithm offers significant advantages for MR brain segmentation, particularly in terms of speed and flexibility.