• DocumentCode
    3488698
  • Title

    Assessment of exercise-induced immune cell apoptosis using morphological image processing

  • Author

    Mohamed, Refaat ; El-Baz, Ayman ; Navalta, James

  • Author_Institution
    ITT Tech. Inst., Owings Mills, MD, USA
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    2649
  • Lastpage
    2652
  • Abstract
    This paper presents an image processing-based approach for the assessment of living cell apoptosis. The approach uses deformable models in tracing the changes in cell shapes in accordance to possible apoptotic cell death. Stochastic controlled energy function is used to drive the evolution of the deformable model. As an application for the proposed approach, it is applied for detecting the morphological changes in exercise-induced immune cells during their apoptosis. The approach is used with the goal of automating the assessment of cell apoptosis. The proposed approach shows promising results in detecting these morphological changes.
  • Keywords
    biomechanics; cellular biophysics; medical image processing; stochastic processes; cell shapes; deformable models; exercise-induced immune cell apoptosis; morphological image processing; stochastic controlled energy function; Biomembranes; Cells (biology); Change detection algorithms; Deformable models; Gold; Image processing; Immune system; Morphology; Shape control; Stochastic processes; Cell Death Identification; Deformable Models; Morphological Change Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414111
  • Filename
    5414111