关键词: 医学图像分割, 心脏磁共振图像, 自适应平滑, K均值聚类, 主动轮廓模型, 水平集方法

Abstract: Segmentation of cardiac MRI images is the fundation of computer-aided diagnose and analysis of cardiac function.The key to segment cardiac MRI images accurately is to delineate the contour of left ventricle correctly.This paper proposes a novel method to delineat the contour of left ventricle.Firstly，the cardiac MRI images are smoothed using an adaptive smoothing algorithm，which smoothes the images without shifting the image edge information.Then，the images is clustered with k-mean clustering to find homogeneous region.At last，the contour of left ventricle is delineated by geometric active contour based on variation level set methods.Experimatal results demonstrate that the method is robust to the noise，and the interference of surrounding tissues of left ventricle and the results is accurate.

Key words: medical image segmentation, cardiac Magnetic Resonance Imaging（MRI） image, adaptive smoothing, K-mean cluster, active contour model, variational level set method