Abstract: Segmentation is one of the most important and difficult problems in multidimensional ultrasonic medical image reconstruction.An automatic segmentation method combining the nearest neighbor classifier with self-organization neural network is studied in this paper.In addition to the automatic segmentation benefit,it is proved by experiments that the method exceeds the traditional K-means method in stability,adaptability and exactness etc.