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
fDate :
June 28 2009-July 1 2009
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;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193262