Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model
Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model
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DOI：
10.1109/tmi.2013.2243463
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发表时间：
2013-06-01
影响因子：
10.6
通讯作者：
Ortiz-de-Solorzano, Carlos
中科院分区：
文献类型：
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作者：
Maska, Martin;Danek, Ondrej;Ortiz-de-Solorzano, Carlos
我们提出了一种快速，强大的方法，用于跟踪延时序列中全荧光细胞不断发展的形状。提出的跟踪方案涉及两个步骤。首先，在每个框架上应用了相干增强的扩散滤波，以减少噪声量并增强流动状结构。其次，通过在类似快速设定和图形切割框架中最小化chan-vese模型来检测细胞边界。为了允许随着时间的推移同时跟踪多个单元格，这两个框架都与拓扑事先利用对象指示函数进行了集成。在2-D和3-D时段系列的大鼠脂肪衍生的间充质干细胞和人类肺鳞状细胞癌细胞中，两种框架的潜力以及两个框架的优势和缺点都得到了证明。
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.