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首页> 外文会议>2010 3rd International Conference on Biomedical Engineering and Informatics >Restructuring centipedes and their applications to fast extraction of structures in Electron Microscope tomography images
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Restructuring centipedes and their applications to fast extraction of structures in Electron Microscope tomography images

机译：重组cent及其在电子显微镜断层图像中快速提取结构的应用

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摘要

We present a class of region-based deformable contour models dubbed restructuring centipedes, R-centipedes. R-centipedes can automatically change their structures in order to extract multiple objects and their internal parts from complex medical and Electron Microscope (EM) tomography images. On the contrary to the topologically flexible edge-based T-snakes and the implicit level-set snakes, 1) R-centipedes do not rely on any image preprocessing such as the isotropic Gaussian smoothing and/or threshold setting needed for removing spurious and weak edges, and 2) they don't get stuck with textural artifacts which are abundantly found in EM tomography images. The R-centipedes have several desirable features, including geometrical flexibility, high speed, accuracy and insensitivity with respect to their initial positions, which make them useful tools in complex applications where demand is high for automatic object extraction and 3D visualization with non or minimal user interaction.
机译：我们展示了一类基于地区的可变形轮廓模型，重组重组蜈蚣，R蜈蚣。 R-蜈蚣可以自动改变其结构，以从复杂的医疗和电子显微镜（EM）断层摄影图像中提取多个物体及其内部部件。与拓扑柔性的边缘的T蛇和隐式水平集蛇相反，1）R-efipedes不依赖于任何图像预处理，例如去除虚假和弱的各向同性高斯平滑和/或阈值设置边缘和2）他们不会被陷入诸着在EM断层摄影图像中大量发现的纹理伪影。 R-enipedes具有几种理想的特征，包括几何灵活性，高速，精度和对其初始位置的不敏感，这使得它们在复杂应用中的有用工具，其中需求高，用于自动对象提取和非或最小用户的3D可视化相互作用。

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