Literature DB >> 20426162

Cell segmentation using front vector flow guided active contours.

Fuhai Li1, Xiaobo Zhou, Hong Zhao, Stephen T C Wong.   

Abstract

Phase-contrast microscopy is a common approach for studying the dynamics of cell behaviors, such as cell migration. Cell segmentation is the basis of quantitative analysis of the immense cellular images. However, the complicated cell morphological appearance in phase-contrast microscopy images challenges the existing segmentation methods. This paper proposes a new cell segmentation method for cancer cell migration studies using phase-contrast images. Instead of segmenting cells directly based on commonly used low-level features, e.g., intensity and gradient, we first identify the leading protrusions, a high level feature, of cancer cells. Based on the identified cell leading protrusions, we introduce a front vector flow guided active contour, which guides the initial cell boundaries to the real boundaries. The experimental validation on a set of breast cancer cell images shows that the proposed method demonstrates fast, stable, and accurate segmentation for breast cancer cells with wide range of sizes and shapes.

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Year:  2009        PMID: 20426162      PMCID: PMC2896022          DOI: 10.1007/978-3-642-04271-3_74

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  7 in total

Review 1.  Met, metastasis, motility and more.

Authors:  Carmen Birchmeier; Walter Birchmeier; Ermanno Gherardi; George F Vande Woude
Journal:  Nat Rev Mol Cell Biol       Date:  2003-12       Impact factor: 94.444

2.  Automated neurite labeling and analysis in fluorescence microscopy images.

Authors:  Guanglei Xiong; Xiaobo Zhou; Alexei Degterev; Liang Ji; Stephen T C Wong
Journal:  Cytometry A       Date:  2006-06       Impact factor: 4.355

3.  Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy.

Authors:  Meng Wang; Xiaobo Zhou; Fuhai Li; Jeremy Huckins; Randall W King; Stephen T C Wong
Journal:  Bioinformatics       Date:  2007-11-07       Impact factor: 6.937

4.  Snakes, shapes, and gradient vector flow.

Authors:  C Xu; J L Prince
Journal:  IEEE Trans Image Process       Date:  1998       Impact factor: 10.856

5.  Active contours without edges.

Authors:  T F Chan; L A Vese
Journal:  IEEE Trans Image Process       Date:  2001       Impact factor: 10.856

6.  High-throughput analysis of multispectral images of breast cancer tissue.

Authors:  Umesh Adiga; Ravikanth Malladi; Rodrigo Fernandez-Gonzalez; Carlos Ortiz de Solorzano
Journal:  IEEE Trans Image Process       Date:  2006-08       Impact factor: 10.856

7.  Automatic dendritic spine analysis in two-photon laser scanning microscopy images.

Authors:  Wenjia Bai; Xiaobo Zhou; Liang Ji; Jie Cheng; Stephen T C Wong
Journal:  Cytometry A       Date:  2007-10       Impact factor: 4.355

  7 in total
  3 in total

Review 1.  Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review.

Authors:  Fuyong Xing; Lin Yang
Journal:  IEEE Rev Biomed Eng       Date:  2016-01-06

2.  A Cell Derived Active Contour (CDAC) method for robust tracking in low frame rate, low contrast phase microscopy - an example: the human hNT astrocyte.

Authors:  Alireza Nejati Javaremi; Charles P Unsworth; E Scott Graham
Journal:  PLoS One       Date:  2013-12-17       Impact factor: 3.240

3.  Establishment of a morphological atlas of the Caenorhabditis elegans embryo using deep-learning-based 4D segmentation.

Authors:  Jianfeng Cao; Guoye Guan; Vincy Wing Sze Ho; Ming-Kin Wong; Lu-Yan Chan; Chao Tang; Zhongying Zhao; Hong Yan
Journal:  Nat Commun       Date:  2020-12-07       Impact factor: 14.919

  3 in total

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