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3-D segmentation of MR brain images using seeded region growing

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2 Author(s)
Justice, R.K. ; Dept. of Biomed. Eng., Alabama Univ., Birmingham, AL, USA ; Stokely, E.M.

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

Published in:

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE  (Volume:3 )

Date of Conference:

31 Oct-3 Nov 1996