Joint Tracking of Cell Morphology and Motion

Authors:
Jierong Cheng;Esther G. Koh;Sohail Ahmed;Jagath C. Rajapakse
Affiliations:
BioInformatics Research Center and School of Computer Engineering, Nanyang Technological University, Singapore and Singapore-MIT Alliance, Singapore;Institute of Medical Biology, Singapore;Institute of Medical Biology, Singapore;BioInformatics Research Center and School of Computer Engineering, Nanyang Technological University, Singapore and Singapore-MIT Alliance, Singapore and Department of Biological Engineering, Massa ...
Venue:
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Year:
2009

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Abstract

A new method is proposed for joint tracking of cell morphology and motion from 3D temporal cellular images. We adopt the framework of region-based active contours for segmentation, which is able to cope with objects having blurred boundaries. Motion estimation is performed by optical flow to increase the robustness and accuracy. Cell morphology and motion are modelled via a unified energy formulation and estimated iteratively searching for the minimum energy configuration. Experiments are carried out on synthetic and real cellular images to demonstrate the performance of the method.