• DocumentCode
    1771940
  • Title

    Non-rigid contour-based temporal registration of 2D cell nuclei images using the Navier equation

  • Author

    Sorokin, Dmitry V. ; Tektonidis, Marco ; Rohr, Karl ; Matula, Pavel

  • Author_Institution
    Centre for Biomed. Image Anal., Masaryk Univ., Brno, Czech Republic
  • fYear
    2014
  • fDate
    April 29 2014-May 2 2014
  • Firstpage
    746
  • Lastpage
    749
  • Abstract
    In live cell imaging it is essential to analyze the pure motion of sub-nuclear proteins without influence of the cell nucleus motion and deformation which is referred to as nucleus global motion. In this work, we propose a 2D contour-based image registration approach for compensation of the global motion of the nucleus. Compared to a previous contour-based approach, our approach employs an explicit rigid registration step to compensate the nucleus translation and rotation, it uses morphological contour matching for establishing more reliable correspondences between contours in consecutive frames, and utilizes the Navier equation for more realistically modeling the nucleus deformation. Our approach was successfully applied to real live cell microscopy image sequences and an experimental comparison with an existing contour-based registration method and an intensity-based registration method has been performed.
  • Keywords
    cellular biophysics; deformation; image registration; image sequences; medical image processing; motion compensation; proteins; 2D cell nuclei images; 2D contour-based image registration; Navier equation; cell nucleus motion; contour-based registration method; explicit rigid registration step; intensity-based registration method; morphological contour matching; nonrigid contour-based temporal registration; nucleus deformation; nucleus global motion compensation; nucleus rotation; nucleus translation; pure motion; real live cell microscopy image sequences; subnuclear proteins; Biomedical imaging; Deformable models; Equations; Image sequences; Mathematical model; Microscopy; Biomedical image analysis; Contour-based registration; Image sequence analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ISBI.2014.6867978
  • Filename
    6867978