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基于密度图的微观图像中生物结构的组织级分割与跟踪

TISSUE LEVEL SEGMENTATION AND TRACKING OF BIOLOGICAL STRUCTURES IN MICROSCOPIC IMAGES BASED ON DENSITY MAPS.

作者信息

Mosaliganti K, Gelas A, Gouaillard A, Megason Sean G

机构信息

Harvard Medical School, Department of Systems Biology, 200 Longwood Avenue, Boston, MA - 02115, USA.

出版信息

Proc IEEE Int Symp Biomed Imaging. 2009:1354-1357. doi: 10.1109/ISBI.2009.5193316.

DOI:10.1109/ISBI.2009.5193316
PMID:21766061
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3136122/
Abstract

During embryogenesis, cells coordinate to form geometric arrangements. These arrangements are initially noticed as stereotypical clumps of cells that further divide to form a rigorous structure with a high density of cells. In this work, we explore density-based segmentation and tracking of cellular structures as observed in microscopy images. Using a new modified form of the Mumford-Shah energy functional, we derived a variational level-set for density-based segmentation. The novelty of the work lies in evolving an initialized contour that represents a salient structure on density maps to automatically generate novel cell structures upon convergence. We validate our methods and show results on confocal ear images of the zebrafish embryo.

摘要

在胚胎发生过程中,细胞协同形成几何排列。这些排列最初表现为典型的细胞团块,进一步分裂形成具有高密度细胞的严格结构。在这项工作中,我们探索基于密度的细胞结构分割和跟踪,如在显微镜图像中观察到的那样。使用一种新的改良形式的Mumford-Shah能量泛函,我们推导了基于密度分割的变分水平集。这项工作的新颖之处在于演化一个初始化轮廓,该轮廓代表密度图上的显著结构,在收敛时自动生成新的细胞结构。我们验证了我们的方法,并在斑马鱼胚胎的共聚焦耳部图像上展示了结果。

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本文引用的文献

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Tensor classification of N-point correlation function features for histology tissue segmentation.用于组织学组织分割的 N 点相关函数特征的张量分类
Med Image Anal. 2009 Feb;13(1):156-66. doi: 10.1016/j.media.2008.06.020. Epub 2008 Jul 25.
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Integrated active contours for texture segmentation.用于纹理分割的集成主动轮廓
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Segmenting and tracking fluorescent cells in dynamic 3-D microscopy with coupled active surfaces.利用耦合活动曲面在动态三维显微镜中对荧光细胞进行分割和跟踪。
IEEE Trans Image Process. 2005 Sep;14(9):1396-410. doi: 10.1109/tip.2005.852790.