Automatic segmentation of histological structure in mammary gland tissue sections
Automatic segmentation of histological structure in mammary gland tissue sections
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DOI：
10.1117/1.1699011
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发表时间：
2004-05-01
影响因子：
3.5
通讯作者：
de Solorzano, CO
中科院分区：
文献类型：
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作者：
Fernandez-Gonzalez, R;Deschamps, T;de Solorzano, CO
实时三维（3-D）重建上皮结构的人类乳腺组织块映射与选定的标记将是一个非常有用的工具，诊断乳腺癌和规划治疗。除了明确的临床应用外，该工具还可以为乳腺癌的发生和发展的分子基础提供大量信息。我们提出了一个框架，实时分割的上皮结构在二维（2-D）图像的部分正常和肿瘤乳腺组织块。然后，可以通过对在块的连续切片中检测到的结构进行表面渲染来完成组织的完整3D渲染。首先将石蜡包埋或冷冻的组织块切片，并将切片用苏木精和伊红染色。然后使用传统的明场显微镜对切片进行成像，并使用幻影图像对其背景进行校正。然后，我们使用快速行进算法来粗略地提取图像中的不同形态结构的轮廓。然后用水平集方法对结果进行细化，该方法收敛到分割问题的精确（亚像素）解决方案。最后，我们的系统将获得的2-D结果叠加在一起，以重建整个组织块的3-D表示。我们的方法说明了人类和小鼠乳腺组织样本的分割结果。(C)2004年，美国光电仪器工程师学会（Society of Photo-Optical Instrumentation Engineers）
Real-time three-dimensional (3-D) reconstruction of epithelial structures in human mammary gland tissue blocks mapped with selected markers would be an extremely helpful tool for diagnosing breast cancer and planning treatment. Besides its clear clinical application, this tool could also shed a great deal of light on the molecular basis of the initiation and progression of breast cancer. We present a framework for real-time segmentation of epithelial structures in two-dimensional (2-D) images of sections of normal and neoplastic mammary gland tissue blocks. Complete 3-D rendering of the tissue can then be done by surface rendering of the structures detected in consecutive sections of the blocks. Paraffin-em bedded or frozen tissue blocks are first sliced and sections are stained with hematoxylin and eosin. The sections are then imaged using conventional bright-field microscopy and their background corrected using a phantom image. We then use the fast-marching algorithm to roughly extract the contours of the different morphological structures in the images. The result is then refined with the level-set method, which converges to an accurate (subpixel) solution for the segmentation problem. Finally, our system stacks together the 2-D results obtained in order to reconstruct a 3-D representation of the entire tissue block under study. Our method is illustrated with results from the segmentation of human and mouse mammary gland tissue samples. (C) 2004 Society of Photo-Optical Instru-mentation Engineers.