基于DICOM文本与内容的医学图像检索系统研究  

Research on medical image retrieval system based on DICOM header information and content

作　　者：王伟蔚[1] 张国鹏[1] 邱顶[1] 廖琪梅[1] 陈武凡[2] 卢虹冰[1] 

机构地区：[1]第四军医大学生物医学工程学院,陕西西安710032 [2]南方医科大学生物医学工程学院,广东广州510515

出　　处：《计算机工程与设计》2011年第3期1014-1018,共5页Computer Engineering and Design

基　　金：国家自然科学基金项目(60772020);国家自然科学基金重点项目(30730036)

摘　　要：为辅助医师从海量医学图像中快速查找所需图像,提出了一种将DICOM文本信息和图像底层特征相结合的医学图像检索方法。从DICOM图像的文件头中提取文本信息,进行图像预筛选,提取图像的纹理及形状特征,通过设定权重将这两种特征相结合,进行基于内容的图像检索。实验结果表明,综合纹理和形状特征的检索方法优于单一特征检索方法,联合DICOM文本信息和底层特征的方法能明显提高检索的效能,使检索结果更接近于人的视觉理解。To assist physicians to quickly find the images from mass medical images,an approach is presented,which combines header text information and low-level features of digital imaging and communications in medicine（DICOM） images to perform retrieval on medical image databases.Firstly,the text information is extracted from DICOM header for the pre-filtering of the images,and then texture and shape features are extracted and combined with different weights to retrieve similar images.The results of experiments show that the proposed method outperformed that based on single kind of features.By combining the DICOM header information with low-level content features,the performance of medical image retrieval is improved.

关 键 词：医学图像 基于内容的图像检索 医学成像和通信标准 纹理特征 形状特征 特征融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]