A new marching cubes algorithm for interactive level set with application to MR image segmentation

Abstract

In this paper we extend the classical marching cubes algorithm in computer graphics for isosurface polygonisation to make use of new developments in the sparse field level set method, which allows localised updates to the implicit level set surface. This is then applied to an example medical image analysis and visualisation problem, using user-guided intelligent agent swarms to correct holes in the surface of a brain cortex, where level set segmentation has failed to reconstruct the local surface geometry correctly from a magnetic resonance image. The segmentation system is real-time and fully interactive. © 2010 Springer-Verlag.