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

  • Authors:
  • David Feltell;Li Bai

  • Affiliations:
  • School of Computer Science, University of Nottingham, UK;School of Computer Science, University of Nottingham, UK

  • Venue:
  • ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
  • Year:
  • 2010

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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.