基于K均值聚类算法的CT图像金属伪影去除  

Metal Artifact Reduction in CT Using K-Mean Cluster Algorithm

作　　者：何为[1] 余晓锷[1] 

机构地区：[1]南方医科大学生物医学工程系,广东广州510515

出　　处：《中国医疗设备》2009年第6期12-14,共3页China Medical Devices

基　　金：广东省科技计划项目(2007B010400058)

摘　　要：CT诊断中,高密度物质如金属植入物会造成伪影,严重影响图像质量。本文用K均值聚类分割算法配合线性插值对金属伪影进行处理,并简要分析了校正效果。High density objects such as the metallic implants would bring artifact to the reconstructed images during the diagnosis of CT,which would interfere diagnosis severely.In this paper,k-means cluster algorithm and linear interpolation were used for correcting the image and analyzing the result.

关 键 词：金属伪影 K均值聚类算法 线性插值法 CT图像 

分 类 号：R319[医药卫生—基础医学]