Computation and evaluation of medial surfaces for shape representation of abdominal organs

  • Authors:
  • Sergio Vera;Debora Gil;Agnès Borràs;Xavi Sánchez;Frederic Pérez;Marius George Linguraru;Miguel A. González Ballester

  • Affiliations:
  • Computer Vision Center, Computer Science Dept., Universitat Autònoma de Barcelona, Spain and Alma IT Systems, Barcelona, Spain;Computer Vision Center, Computer Science Dept., Universitat Autònoma de Barcelona, Spain;Computer Vision Center, Computer Science Dept., Universitat Autònoma de Barcelona, Spain;Computer Vision Center, Computer Science Dept., Universitat Autònoma de Barcelona, Spain;Alma IT Systems, Barcelona, Spain;Radiology and Imaging Sciences Dept., Clinical Center, National Institutes of Health, Bethesda;Alma IT Systems, Barcelona, Spain

  • Venue:
  • MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
  • Year:
  • 2011

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Abstract

Medial representations are powerful tools for describing and parameterizing the volumetric shape of anatomical structures. Existing methods show excellent results when applied to 2D objects, but their quality drops across dimensions. This paper contributes to the computation of medial manifolds in two aspects. First, we provide a standard scheme for the computation of medial manifolds that avoid degenerated medial axis segments; second, we introduce an energy based method which performs independently of the dimension. We evaluate quantitatively the performance of our method with respect to existing approaches, by applying them to synthetic shapes of known medial geometry. Finally, we show results on shape representation of multiple abdominal organs, exploring the use of medial manifolds for the representation of multi-organ relations.