By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

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