An Xing, Liu Zhiwen, Shi Yonggang, Li Ning, Wang Yalin, Joshi Shantanu H
School of Information and Electronics, Beijing Inst. of Tech., Beijing, China.
Med Image Comput Comput Assist Interv. 2012;15(Pt 1):340-7. doi: 10.1007/978-3-642-33415-3_42.
This paper presents a geometric method for modeling dynamic features of cells in image sequences. The morphological changes in cellular membrane boundaries are represented as sequences of parameterized contours. These sequences are analyzed as paths on a shape space equipped with an invariant metric, and matched using dynamic time warping. Experimental results show high sensitivity of the proposed dynamic features to the morphological changes observed in lymphocytes of healthy mice after undergoing skin transplantation when compared with standard representation methods and shape features.
本文提出了一种用于对图像序列中细胞的动态特征进行建模的几何方法。细胞膜边界的形态变化被表示为参数化轮廓序列。这些序列在配备了不变度量的形状空间上作为路径进行分析，并使用动态时间规整进行匹配。实验结果表明，与标准表示方法和形状特征相比，所提出的动态特征对健康小鼠皮肤移植后淋巴细胞中观察到的形态变化具有高灵敏度。
