3D CTA image segmentation with a generalized cylinder-based tree model

  • Authors:
  • Julien Mille;Laurent D. Cohen

  • Affiliations:
  • Université de Lyon, CNRS, Université Lyon 1, LIRIS, UMR, France;CEREMADE, UMR CNRS, Université Paris Dauphine, France

  • Venue:
  • ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
  • Year:
  • 2010

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Abstract

The proposed model is devoted to the segmentation and reconstruction of 3D vascular trees 1. We rely on an explicit representation of a deformable tree, where topological relationships between segments are modeled. This allows easy posterior interactions and quantitative analysis, such as measuring diameters or lengths of vessels. Starting from a unique user-provided root point, an initial tree is built with a technique relying on minimal paths. Within the constructed tree, the central curve of each segment and an associated variable radius function evolve in order to satisfy a region homogeneity criterion. We present results obtained on 3D CTA images of the carotid bifurcation.