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
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