Topology-Preserving Discrete Deformable Model: Application to Multi-segmentation of Brain MRI

  • Sanae Miri
  • Nicolas Passat
  • Jean-Paul Armspach
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5099)


Among the numerous 3D medical image segmentation methods proposed in the literature, very few have intended to provide topologically satisfying results, a fortiori for multiple object segmentation. In this paper, we present a method devoted to parallel segmentation of the main classes of cerebral tissues from 3D magnetic resonance imaging data. This method is based on a multi-class discrete deformable model strategy, starting from a topologically correct model, and guiding its evolution in a topology-preserving fashion. Validations on a commonly used cerebral image database provide promising results and justify the further development of a general methodological framework based on the concepts exposed in this preliminary work.


Topology preservation multi-segmentation discrete deformable model medical imaging 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Sanae Miri
    • 1
    • 2
  • Nicolas Passat
    • 1
  • Jean-Paul Armspach
    • 2
  1. 1.LSIIT, UMR 7005 CNRS/ULP, Strasbourg 1 UniversityFrance
  2. 2.LINC, UMR 7191 CNRS/ULP, Strasbourg 1 UniversityFrance

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