Publication details

Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model



Type Article in Periodical
Magazine / Source IEEE Transactions on Medical Imaging
MU Faculty or unit

Faculty of Informatics

Field Morphological specializations and cytology
Keywords Cell tracking;Chan–Vese model;fluorescence microscopy;graph cut optimization;level set framework
Description We present a fast and robust approach to tracking the evolving shape of whole fluorescent cells in time-lapse series. The proposed tracking scheme involves two steps. First, coherence-enhancing diffusion filtering is applied on each frame to reduce the amount of noise and enhance flow-like structures. Second, the cell boundaries are detected by minimizing the Chan–Vese model in the fast level set-like and graph cut frameworks. To allow simultaneous tracking of multiple cells over time, both frameworks have been integrated with a topological prior exploiting the object indication function. The potential of the proposed tracking scheme and the advantages and disadvantages of both frameworks are demonstrated on 2-D and 3-D time-lapse series of rat adipose-derived mesenchymal stem cells and human lung squamous cell carcinoma cells, respectively.
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