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牙周膜胶原纤维组织切片的显微图像配准
引用本文:杨玲,孙翠刚,王中科,饶妮妮. 牙周膜胶原纤维组织切片的显微图像配准[J]. 计算机工程与应用, 2012, 48(19): 167-170,229
作者姓名:杨玲  孙翠刚  王中科  饶妮妮
作者单位:1. 电子科技大学生命科学与技术学院,成都610054;成都信息工程学院电子工程学院,成都610225
2. 成都信息工程学院电子工程学院,成都,610225
3. 成都信息工程学院网络工程学院,成都,610225
4. 电子科技大学生命科学与技术学院,成都,610054
基金项目:四川省科技支撑计划项目
摘    要:针对牙周膜胶原纤维组织切片在制作过程中对力度和方向非常敏感,极易造成组织变形和空间位移的问题,采用了一种有效的图像配准方法,以便后期对胶原纤维组织空间结构的重建。在Masson染色制成的兔牙周膜石蜡切片的基础上,利用高倍光学显微镜获得了牙周膜的序列切片图像;再采用基于正规步长梯度下降的二维刚性配准和基于对数域对称Demons微分同胚非刚性配准相结合的方法,对牙周膜序列切片图像进行级联配准。实验结果表明,相对于有限元非刚性配准而言,对数域对称Demons微分同胚非刚性配准方法具有较好的优势,其配准每张图片的平均时间为有限元法的3.1%,而配准均方误差平均为有限元法的89%。

关 键 词:显微图像  胶原纤维  图像配准

Mictographs image registration of collagen fibers slices in periodontal ligament
YANG Ling , SUN Cuigang , WANG Zhongke , RAO Nini. Mictographs image registration of collagen fibers slices in periodontal ligament[J]. Computer Engineering and Applications, 2012, 48(19): 167-170,229
Authors:YANG Ling    SUN Cuigang    WANG Zhongke    RAO Nini
Affiliation:1.School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu 610054,China 2.College of Electronic Engineering,Chengdu University of Information Technology,Chengdu 610225,China 3.College of Networks Engineering,Chengdu University of Information Technology,Chengdu 610225,China
Abstract:For it is very sensitive to the strength and direction in the production process of paraffin serial sections,it easily results in periodontal ligament tissue deformation and spatial displacement.This paper proposes an efficient image registration method to help reconstruct its spatial structure.On the basis of the Masson staining paraffin sections of rabbit Perio Dontal Ligamen(tPDL),the serial section images of PDL are obtained in the high optical microscope.And a new registration method that is combined rigid registration in 2D based on regular step gradient descent optimizer and non-rigid registration based on the symmetric log-domain diffeomorphic Demons algorithm is introduced and used for image cascade registration of slice images.The results show that the symmetric log-domain diffeomorphic Demons algorithm is better than Finite Element Method(FEM)registering each slice with 3.1%average processing time of FEM,and 89%average MSE of FEM.
Keywords:micrographs image  collagen fiber  image registration
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