医学图像的交互分割及三维表面重建

提出一种基于灰度信息的三维医学图像交互分割方法，并对分割提取的组织或区域进行了三维表面重建，在分割过程中，首先对图像进行滤波，确定阈值范围进行二值化，然后根据待提取组织或区域的特征，选取合适的数学形态学操作，最后对区域进行种子填充，这一过程是一个交互的过程，对提取出的区域用MT算法构造等值面，用灰度梯度法计算表面法微量，并实现高质量三维显示。

Interactive Segmentation and 3D Surface Reconstruction of Medical Images

This paper presents an interactive segmentation method of 3D medical images based on gray level information. Surface reconstruction of the segmented and extracted tissues or regions is created. The segmentation process is in four steps: filter the image,create the threshold values and binarize the image, process the image using proper mathematical morphology operation according to the feature of tissues or regions to extract, and fill the region to extract using seed fill algorithm. This is an interactive process. Isosurfaces of the extracted regions are created by MT algorithm. Normals of every triangular chip of the isosurface are calculated by using gray level gradient method. The surface of 3D reconstruction is displayed in high quality.