基于快速步进算法的活动轮廓优化模型研究

he Active Contour Model is one of the mainstreams of medical image segmentation method. During the image segmentation method of the Active Contour Model, the iteration needs to calculate each pixel in the image, which leads to large amount of calculation and the slow segmentation speed, so could not reach the requirements of real-time clinical operation. In this paper, we take the simple and quick advantages of the Fast Marching to conduct the simulation experiment of optimization model on ITK platform finally. The analysis of experimental results: the optimization model can keep the smoothness of the boundary, make the common anatomical and topology structure in the medical images to process well, the complexity of the algorithm to reduce, and the robustness of the algorithm to improve. The research results also do a good bedding for the real-time clinical application of medical image segmentation algorithm.