Extraction of Vessels Networks over an Orientation Domain

  title={Extraction of Vessels Networks over an Orientation Domain},
  author={Micka{\"e}l P{\'e}chaud},
This paper presents a new method to extract a network of vessels centerlines from a medical image. The network is composed of local geodesics over a four-dimensional space that includes local orientation and scale. These shortest paths follow closely the center of tubular structures and can deal robustly with crossings over the image plane. The vessel network is grown by an iterative algorithm that distributes seed points according to a geodesic saliency field. Numerical experiments on a… CONTINUE READING


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Intensity ridge and widths for tubular object segmentation and description

  • S. Aylward, S. Pizer, D. Eberly, E. Bullitt
  • Proceedings of the 1996 Workshop of MMBIA ’96…
  • 1996
Highly Influential
6 Excerpts

Human machine intergation for vessel segmentation, 2008. http://retina.incubadora.fapesp.br/portal/references/references

  • C. Group
  • 2008
1 Excerpt

Yezzi . Vessels as 4 d curves : Global minimal 4 d paths to extract 3 d tubular surfaces

  • A.
  • IEEE Transactions on Medical Imaging
  • 2008

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