• DocumentCode
    2808591
  • Title

    Tracking cell motion using GM-PHD

  • Author

    Juang, Radford Ray ; Levchenko, Andre ; Burlina, Philippe

  • Author_Institution
    Biomed. Eng. Dept., Johns Hopkins Univ., Laurel, MD, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    1154
  • Lastpage
    1157
  • Abstract
    We present a method for tracking the movement of multiple cells and their lineage. We use the Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter, a multi-target tracking algorithm, to track the motion of multiple cells over time and to keep track of the lineage of cells as they spawn. We describe a spawning model for the GM-PHD filter as well as modifications to the original GM-PHD algorithm to track lineage. Experimental results are provided illustrating the approach for dense cell colonies.
  • Keywords
    Gaussian processes; biological techniques; cellular transport; filtering theory; probability; GM-PHD; GM-PHD filter; Gaussian mixture probability hypothesis density filter; multiple cell movement tracking; multitarget tracking algorithm; spawning model; tracking cell motion; Bayesian methods; Filtering; Filters; Image analysis; Immune system; Inspection; Layout; Microscopy; Stochastic processes; Tracking; Tracking; Tracking filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5193262
  • Filename
    5193262