生物组织连续切片图像的配准与三维显示

Registration and 3D Rendering of Serial Tissue Section Images

连续组织切片图像的的三维重建和显示 ,是一种重要的形态学研究方法。三维重建过程中 ,首先要对连续切片图像进行配准。本文首先介绍了作者提出的用于自动图像配准的分割 -计数法。该方法通过对图像做简单的阈值分割 ,将优化的准则函数定义为图像的联合直方图特定区域上的计数值 ,大大加快了配准速度。然后将该方法用于小鼠胚胎的连续切片图像配准 ,得到空间上配准的三维数据场 ,为三维显示奠定了基础。

It is an important morphological research method to reconstruct the 3D imaging from serial section tissue images. Registration of serial images is a key step to 3D reconstruction. Firstly, an introduction to the segmentation-counting registration algorithm is presented, which is based on the joint histogram. After thresholding of the two images to be registered, the criterion function is defined as counting in a specific region of the joint histogram,which greatly speeds up the alignment process. Then, the method is used to conduct the serial tissue image matching task, and lies a solid foundation for 3D rendering. Finally, preliminary surface rendering results are presented.