• DocumentCode
    2574132
  • Title

    A generic model for ridges: A new framework to characterise biological planar structures

  • Author

    Martinez-Sanchez, Antonio ; Garcia, Inmaculada ; Fernandez, Jose-Jesus

  • Author_Institution
    Supercomput. & Algorithms Group, Univ. of Almeria, Almeria, Spain
  • fYear
    2012
  • fDate
    2-5 May 2012
  • Firstpage
    1675
  • Lastpage
    1678
  • Abstract
    This work introduces a new generic framework to the analysis of ridges and its application to segmentation of planar structures in bioimaging. Based on a Gaussian model, local information associated to ridges is extracted, which actually characterise them. The theoretical basis of the framework is first presented for the one-dimensional case. Its extension to higher dimensions is then shown to be straightforward by applying the same basis over the maximum curvature direction. In the particular case of 3D, this framework allows characterisation of planar structures. The potential of the methodology to segment planar structures in 3D bioimaging is illustrated with several examples.
  • Keywords
    biological tissues; biomembranes; cardiology; cellular biophysics; computerised tomography; image segmentation; medical image processing; physiological models; 3D bioimaging; Gaussian model; biological planar structures; generic framework; generic model; maximum curvature direction; ridge analysis; segmentation; Biological system modeling; Biomembranes; Heart; Image segmentation; Manifolds; Mice; Biomedical image processing; Computed tomography; Image analysis; Image classification; Image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4577-1857-1
  • Type

    conf

  • DOI
    10.1109/ISBI.2012.6235900
  • Filename
    6235900