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Tubular Structure Segmentation Based on Heat Diffusion

  • Fang YangEmail author
  • Laurent D. Cohen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10302)

Abstract

This paper proposes an interactive method for tubular structure segmentation. The method is based on the minimal paths obtained from the geodesic distance solved by the heat equation. This distance can be based both on isotropic or anisotropic metric by solving the corresponding heat equation. Thanks to the additional dimension added for the local radius around the centerline, our method can not only detect the centerline of the structure, but also extracts the boundaries of the structures. Our algorithm is tested on both synthetic and real images. The promising results demonstrate the robustness and effectiveness of the algorithm.

Keywords

Heat Equation Geodesic Distance Anisotropic Diffusion Heat Diffusion Minimal Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgement

The authors would like to thank Dr. Jean-Marie Mirebeau for his fruitful discussions and suggestions on the numerical solutions of isotropic and anisotropic heat equations in 3D space.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.CEREMADE, CNRS, UMR 7534, Université Paris Dauphine, PSL Research UniversityParisFrance

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