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IEEE Trans Med Imaging. 2013 Jun;32(6):995-1006. doi: 10.1109/TMI.2013.2243463. Epub 2013 Jan 29.

Segmentation and shape tracking of whole fluorescent cells based on the Chan-Vese model.

Author information

1
Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, 60200 Brno, Czech Republic. xmaska@fi.muni.cz

Abstract

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.

PMID:
23372077
DOI:
10.1109/TMI.2013.2243463
[Indexed for MEDLINE]

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