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Updated: Sep 27, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
Published on: August 13, 2014
Cortex segmentation: a fast variational geometric approach
Roman Goldenberg1, Ron Kimmel, Ehud Rivlin
1Computer Science Department, Technion-Israel Institute of Technology, Technion City, Haifa 32000, Israel. romang@cs.technion.ac.il
Abstract:
An automatic cortical gray matter segmentation from a three-dimensional (3-D) brain images [magnetic resonance (MR) or computed tomography] is a well known problem in medical image processing. In this paper, we first formulate it as a geometric variational problem for propagation of two coupled bounding surfaces. An efficient numerical scheme is then used to implement the geodesic active surface model. Experimental results of cortex segmentation on real 3-D MR data are provided.
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