Reconstructing geometrically consistent tree structures from noisy images

  • Authors:
  • Engin Türetken;Christian Blum;Germán González;Pascal Fua

  • Affiliations:
  • Computer Vision Lab., Ecole Polytechnique Fédérale de Lausanne, Switzerland;ALBCOM, Universitat Politécnica de Catalunya, Barcelona, Spain;Computer Vision Lab., Ecole Polytechnique Fédérale de Lausanne, Switzerland;Computer Vision Lab., Ecole Polytechnique Fédérale de Lausanne, Switzerland

  • Venue:
  • MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
  • Year:
  • 2010

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Abstract

We present a novel approach to fully automated reconstruction of tree structures in noisy 2D images. Unlike in earlier approaches, we explicitly handle crossovers and bifurcation points, and impose geometric constraints while optimizing a global cost function. We use manually annotated retinal scans to evaluate our method and demonstrate that it brings about a very substantial improvement.