Soft tissue image sequences segmentation based on level set method
Min Fan · Jisuanji gongcheng yu sheji · 2007
The medical image segmentation,one of the key problems in medical image processing.The segmentation of image sequences is the necessary preparation for 3D reconstruction,and the soft tissue image segmentation is a difficultial problem in the image segmention domain.The level set method based on curves evolving theory and partial differential equation theory is widely applied in the segmentation of medical image.The model of level set method is introduced,and then an algorithm is proposed to address the problem of soft tissue image based on the narrow band level set method.First,get the first original image's edges by using edge trace method.Then make those edge curves as the initial curves for the narrow level set curves evolving.Finally,after two phase of iterative processing,the soft tissue image sequence is segmented automatically.Experimental results show that the algorithm can obtain segmentation result of soft tissue image efficiently and accurately,which can be made the proper data set for 3D reconstruction.