基于肿瘤细胞断层图像轮廓的三维极坐标插值方法
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天津大学

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基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


A new 3D interpolation method based on the contour points in LSCM cell image stack in polar coordinate system for 3D reconstruction
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Affiliation:

Tianjin Uninversity

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    利用“细胞CT”——激光扫描共聚焦显微镜可以获得肿瘤细胞三维断层图像,实现肿瘤细胞三维可视化,具有重要临床及科研意义。本文提出了一种针对细胞断层图像轮廓的三维极坐标插值方法,以图形形态学中心为极坐标原点,将轮廓点转换为极坐标表示。按极角采样获得离散轮廓点数据,综合多层轮廓信息,依照表面轮廓变化趋势,进行均匀三次B样条拟合完成插值。并针对肿瘤细胞核常见的分支核结构,利用曲率角点检测和数学形态学相结合的方法实现轮廓分割,并采用基于阈值半径的轮廓匹配方法实现分支轮廓对应,继而实现细胞分支核插值。结果显示,本方法可实现细胞及细胞核的三维插值,插值后轮廓表面三维重建表现出良好的曲面光滑性和连续性。极坐标插值数据可为细胞三维形态结构测量提供便利。

    Abstract:

    Laser Scanning Confocal Microscope(LSCM),which is also called ‘Cell CT’, can be used to acquire image stacks of live cancer cells. These images are of great significance to fulfill the 3D-visualization on cell level. In this study, we proposed a 3D interpolation method based on contour points in polar coordinate system. In the new method, the origin of coordinate system is chosen to be the morphological center instead of the traditional geometric center. Resample the contour points by polar angle first, then fit the discrete points with uniform cubic B-spline to perform the interpolation, which will integrate multi-slice counter shape information. For a common nucleus structure, branched nucleus, a special method combining image morphological methods and corner detection methods based on curvature scale space is considered to solve contour division issue, and their correspondence problem was solved through a threshold radius method. The 3D reconstruction result shows much smoother and natural surface of cells and nucleus. This interpolation method is good for precise measurement of cell morphology and clinic study as well.

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引用本文

撒昱.基于肿瘤细胞断层图像轮廓的三维极坐标插值方法[J].数据采集与处理,2013,28(5):620-625

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  • 收稿日期:2012-02-08
  • 最后修改日期:2012-11-18
  • 录用日期:2013-03-06
  • 在线发布日期: 2013-11-28