Review of Deformable Models in Medical Image Segmentation Techniques
医学图像分割技术中变形模型方法的研究综述*

Medical image segmentation is a classical difficult problem in medical image process. The development of medical image segmentation techniques not only influence on other techniques in image segmentation such as medical image visualization and 3D reconstruction etc, but also play an important role in the analysis of biology medical image analysis. In recent years, owning to some applications of new subjects in medical image process, the medical image segmentation techniques has a remarkable progress. Image segmentation using deformable models encompasses a class of techniques developed in recent years and has been studied extensively. This paper introduces briefly the fundamental principle and theory of image segmentation techniques, analyses and compares the advantages and disadvantages of image segmentation using deformable models and gives the trend of this technique.