医学影像技术发展及分割特点

医学影像技术发展到越来越先进成熟,但医学图像分割仍然是个难题。文章着重介绍医学影像的发展历程和医学图像分割技术的特点:在已有算法中加入新概念或新方法的同时,重视多种分割算法的有效结合。文章最后以主动轮廓模型(Active Shape Mode,ASM)算法、图割(Graph Cut,GC)算法以及图割-主动轮廓模型迭代(Iterative Graph-Cut-ASM,IGCASM)算法为例,进一步说明医学图像分割算法的共同特点。

Recent Progress of Medical Image Processing and Analysis

With the development of medical imaging, its processing and analysis techniques becomes more and more advanced and mature. However, the segmentation of medical image is still a great challenge. In this paper, the recent progress of medical imaging and the characteristics of the recent medical image segmentation techniques were discussed: emphasis on the effective integration of multiple segmentation algorithms. Active shape model (ASM), graph cut (GC) and iterative graph-cut active shape model (IGCASM) methods were used as examples to further illustrate the characteristics of medical image segmentation.