Semi-Automatic 3-D Segmentation of Anatomical Structures of Brain MRI Volumes using Graph Cuts

We present a semi-automatic segmentation technique of the anatomical structures of the brain: cerebrum, cerebellum, and brain stem. The method uses graph cuts segmentation with an anatomic template for initialization. First, a skull stripping procedure is applied to remove non-brain tissues. Then, the segmentation is done hierarchically by first, extracting first the cerebrum from the brain, and then from the remaining volume the cerebellum and the brain stem are separated. This method is fast and can separate different anatomical structures of the brain in spite of weak boundaries. We describe our approach and present experimental results demonstrating its usefulness.

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: Huy-Nam Doan, Gregory G. Slabaugh, Gozde B. Unal, Tong Fang
• Keywords: Brain Stem, Graph Cuts Segmentation, ICIP 2006, Image Processing, Semi-automatic Segmentation Technique