• DocumentCode
    1845068
  • Title

    Cell image segmentation and tracking based on VFC Snake model in vivo

  • Author

    Yonggang Shi ; Lin Wang ; Feng Zhu ; Zhiwen Liu

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • Volume
    1
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    765
  • Lastpage
    770
  • Abstract
    Cellular morphology contains the significant healthy information of the living organisms. Morphological analysis of cells features conduces to classify normal physiology and abnormal pathology. Lymphocyte is one most important cell of the organismal immune system. For an organ transplantation recipient, the body has an immune response, transplant rejection, to the transplanted organ. Lymphocyte morphology will distort sharply. Cellular morphology analysis in membrane boundaries can provide important information for repulsion diagnosis. Clinical lymphocyte microscopic video is segmented and tracked with mathematical morphology, the VFC Snake model. The test results show that cellular morphologic distortion has close relation with transplant rejection.
  • Keywords
    image segmentation; mathematical morphology; medical image processing; object tracking; video signal processing; VFC snake model; abnormal pathology; cell image segmentation; cell tracking; cellular morphology analysis; clinical lymphocyte microscopic video; immune response; lymphocyte morphology; membrane boundaries; normal physiology; organ transplantation recipient; organismal immune system; transplant rejection; Boundary tracking; Cellular morphology analysis; Lymphocyte; Snake model; VFC field;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491600
  • Filename
    6491600