• DocumentCode
    3070384
  • Title

    Multi-scale model-based vessel enhancement using local line integrals

  • Author

    Yuan, Yuan ; Chung, Albert C S

  • Author_Institution
    Lo Kwee-Seong Medical Image Analysis Laboratory, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, China
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    2225
  • Lastpage
    2228
  • Abstract
    This paper presents a novel vessel enhancement method. By regarding a vessel segment as a local line and exploiting the second order information along the line, our method embeds a vessel model to capture vessel structures. The vessel model is the key to better performances of our method than the Hessian-based methods and makes the Hessian-based methods fall in an extreme case of our method. It is experimentally shown that our method gives more accurate “vesselness” measures and vessel direction estimations. In particular, our method achieves better background suppression, smoother “vesselness” measures inside vessels and better responses at crossings (where two relatively straight vessels meet).
  • Keywords
    Computational efficiency; Computational geometry; Computer aided diagnosis; Data visualization; Eigenvalues and eigenfunctions; Filtering; Image segmentation; Information geometry; Matched filters; Particle measurements; Algorithms; Humans; Image Enhancement; Imaging, Three-Dimensional; Models, Biological; Retina; Retinal Vessels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649638
  • Filename
    4649638