| 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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