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Improving active contour methods for tracking endothelial cells by the removal of low-confidence edge segments.

作者信息

Nejati Alireza, Unsworth Charles P, Graham Euan S

机构信息

Department of Engineering Science, University of Auckland, Auckland 1010, New Zealand.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5368-71. doi: 10.1109/EMBC.2012.6347207.

DOI:10.1109/EMBC.2012.6347207
PMID:23367142
Abstract

Previously we developed an active contour method for segmenting and tracking cells in phase-contrast microscopy images. Our method is capable of fine-grained segmentation on noisy image sequences. In this paper, we improve the active contour segmentation model to provide better accuracy, by selectively identifying areas of the contour with low confidence and removing them. The method is applied to HMEC-1 cells (human microvascular endothelial cells). The segmentation provided by the method is quantitavely compared with manually-drawn contours, showing close fit and capability to 'lock' on to cell boundaries for hundreds of frames.

摘要

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引用本文的文献

1
A Cell Derived Active Contour (CDAC) method for robust tracking in low frame rate, low contrast phase microscopy - an example: the human hNT astrocyte.一种用于低帧率、低对比度相显微镜中稳健跟踪的细胞衍生主动轮廓(CDAC)方法——一个例子:人hNT星形胶质细胞。
PLoS One. 2013 Dec 17;8(12):e82883. doi: 10.1371/journal.pone.0082883. eCollection 2013.