A Graph Cuts Image Segmentation Method for Quantifying Barrier Permeation in Bone Tissue
A Graph Cuts Image Segmentation Method for Quantifying Barrier Permeation in Bone Tissue
复制标题
用于量化骨组织屏障渗透的图切图像分割方法
DOI：
10.1109/i3a.2014.22
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
M. Ishii
中科院分区：
文献类型：
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作者：
Hironori Shigeta;T. Mashita;Takeshi Kaneko;J. Kikuta;S. Seno;H. Takemura;H. Matsuda;M. Ishii
生物成像技术最近得到了很多关注，因为它们使体内成像成为可能。他们有望为药物发现、疾病机制的理解等做出贡献。然而，通过生物成像技术获取的数据量越来越大，人工分析已不再可行。因此，对海量数据特征的自动提取就显得十分重要。此外，统计可靠性需要定量分析方法。本文介绍了一种分析双光子显微镜拍摄的一系列骨组织图像的方法，以量化骨髓的血液通透性。该方法对输入图像序列进行图切割，并根据图像进行扩展，将输入图像序列分割为血管、骨髓和骨骼区域。渗透率通过分割结果的强度来量化。我们还证实，我们的方法表明量化趋势类似于专家所做的地面真实数据。
Bio-imaging techniques have recently gotten a lot of attention since they have enabled in-vivo imaging. They are expected to contribute to drug discovery, understanding of disease mechanisms etc. However, data retrieved by bioimaging techniques have been increasing in volume, and it is not anymore feasible to analyze it manually. Therefore automatic extraction of characteristic of a huge amount of data have become important. Moreover, quantitative analysis methods are required for statistical reliability. In this paper we introduce a method for the analysis of a sequence of bone tissue images taken by a two-photon microscope to quantify blood permeability of bone marrow. This method segments the input image sequence to blood vessel, bone marrow and bone regions by graph cuts which we extended according to the images. Permeability is quantified by the intensity of the segmentation result. We also confirm that our method shows that quantification tendency is similar to ground truth data made by an expert.