医学图像分析的现状与展望  

Medical Image Analysis:State of the Art and Future Directions

作　　者：陈武凡[1] 秦安[1] 江少峰[1] 冯前进[1] 郝立巍[1] 

机构地区：[1]南方医科大学生物医学工程学院,广州510515

出　　处：《中国生物医学工程学报》2008年第2期175-181,共7页Chinese Journal of Biomedical Engineering

基　　金：国家973项目(2003CB716100)

摘　　要：综述了医学图像分析的当前主要进展,包括理论模型、感兴趣区分割、图像配准与融合、时序图像的功能分析等传统研究。根据该领域的新进展,简述了基于内容的医学图像检索系统、标准数据集和评估准则的建立,以及医学图像分析商用软件等较新颖的热点。最后总结了医学图像分析领域面临的主要挑战和未来发展方向。This Paper surveyed the major progress in medical image analysis including these classic research topics： mathematical model, ROI（region of interesting） segmentation and analysis, image registration and fusion, functional analysis of temporal image sequences. Further more, based on the recent advances in this field, we also briefly introduced the advance in following topics： the content based image retrieval system from medical image, the construction of standard medical image test databases and evaluation methodology and the commercial medical image analysis software. In the end, we summarized some challenges faced by medical image analysis community and pointed out some directions for future research.

关 键 词：医学图像 图像分割 图像配准 运动估计 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]