MAŠKA, Martin, Ondřej DANĚK, Saray GARASA, Ana ROUZAUT, Arrate MUÑOZ-BARRUTIA and Carlos ORTIZ-DE-SOLÓRZANO. Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model. IEEE Transactions on Medical Imaging. 2013, vol. 32, No 6, p. 995-1006. ISSN 0278-0062. Available from: https://dx.doi.org/10.1109/TMI.2013.2243463. |
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@article{1094754, author = {Maška, Martin and Daněk, Ondřej and Garasa, Saray and Rouzaut, Ana and MuñozandBarrutia, Arrate and OrtizanddeandSolórzano, Carlos}, article_number = {6}, doi = {http://dx.doi.org/10.1109/TMI.2013.2243463}, keywords = {Cell tracking;Chan–Vese model;fluorescence microscopy;graph cut optimization;level set framework}, language = {eng}, issn = {0278-0062}, journal = {IEEE Transactions on Medical Imaging}, title = {Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model}, url = {http://dx.doi.org/10.1109/TMI.2013.2243463}, volume = {32}, year = {2013} }
TY - JOUR ID - 1094754 AU - Maška, Martin - Daněk, Ondřej - Garasa, Saray - Rouzaut, Ana - Muñoz-Barrutia, Arrate - Ortiz-de-Solórzano, Carlos PY - 2013 TI - Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model JF - IEEE Transactions on Medical Imaging VL - 32 IS - 6 SP - 995-1006 EP - 995-1006 SN - 02780062 KW - Cell tracking;Chan–Vese model;fluorescence microscopy;graph cut optimization;level set framework UR - http://dx.doi.org/10.1109/TMI.2013.2243463 N2 - 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. ER -
MAŠKA, Martin, Ondřej DANĚK, Saray GARASA, Ana ROUZAUT, Arrate MUÑOZ-BARRUTIA and Carlos ORTIZ-DE-SOLÓRZANO. Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model. \textit{IEEE Transactions on Medical Imaging}. 2013, vol.~32, No~6, p.~995-1006. ISSN~0278-0062. Available from: https://dx.doi.org/10.1109/TMI.2013.2243463.
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