• DocumentCode
    699592
  • Title

    Matehematic morphology approach for renal biopsy analysis

  • Author

    Marques, Ferran ; Cuberas, Gemma ; Gasull, Antoni ; Seron, Daniel ; Moreso, Francesc ; Joshi, Nayana

  • Author_Institution
    Tech. Univ. of Catalonia, Barcelona, Spain
  • fYear
    2004
  • fDate
    6-10 Sept. 2004
  • Firstpage
    2195
  • Lastpage
    2198
  • Abstract
    This paper proposes a new technique for the analysis of renal biopsies stained with Sirius red and digitized under non-polarized light. The renal interstitial space, the cortex area and the tubules should be segmented to allow the estimation of the renal cortical interstitial volume fraction and the parameters characterizing the tubule distribution. In this paper, a totally automatic algorithm is proposed that relies on mathematic morphology tools. The proposed algorithm has been assessed in a large number of biopsies leading to similar results to those obtained by the manual approach.
  • Keywords
    biomedical optical imaging; image segmentation; kidney; light polarisation; mathematical morphology; medical image processing; Sirius red; cortex area; image segmentation; mathematic morphology; nonpolarized light; renal biopsy analysis; renal cortical interstitial volume fraction; renal interstitial space; renal tubules; totally automatic algorithm; Abstracts; Mathematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2004 12th European
  • Conference_Location
    Vienna
  • Print_ISBN
    978-320-0001-65-7
  • Type

    conf

  • Filename
    7080122