肝脏带病灶CT图像检索方法  

CT image retrieval of the liver with intrahepatic lesions

作　　者：于梅[1] 卢振泰[1] 陈武凡[1] 

机构地区：[1]南方医科大学医学图像处理重点实验室,广东广州510515

出　　处：《南方医科大学学报》2011年第2期221-225,共5页Journal of Southern Medical University

基　　金：国家自然科学基金(30730036)~~

摘　　要：本文提出了一种肝脏CT图像的全局特征提取方法,并将boostmetric这种距离测度方法用于医学图像检索。目的是提高肝脏病灶的检出率。全局特征提取方法对非张量积小波分解后的低频子带系数直方图分段进行高斯拟合,此方法利用了低频子带的近似特性,能更好地表达腹部图像的全局特征。对数据库中图像半自动分割病灶区域,然后提取病灶局部特征。进行相似性距离测度时用了boostmetric算法。实验通过肝癌、肝血管瘤、肝囊肿这3种疾病的1688幅CT图像验证了这种特征提取方法的有效性,本方法可以提高病灶的检出率,具有较好的检索效果。This paper presents a method for global feature extraction and the application of the boostmetric distance metric method for medical image retrieval.The global feature extraction method used the low frequency subband coefficient of the wavelet decomposition based on the non-tensor product coefficient for piecewise Gaussian fitting.The local features were extracted after semi-automatic segmentation of the lesion areas in the images in the database.The experimental verification of the method using 1688 CT images of the liver containing lesions of liver cancer,liver angioma,and liver cyst confirmed that this feature extraction method improved the detection rate of the lesions with good image retrieval performance.

关 键 词：低频子带系数 高斯拟合 局部特征 距离测度 医学图像检索 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]