摘要
模糊聚类分析作为模式识别中的一种重要的分类器,近年来在脑功能磁共振图像的处理与分析领域引起了极大的关注。在脑功能磁共振图像的处理与分析中应用模糊聚类技术需要解决的一个关键问题就是找出适合于脑功能磁共振图像处理的参数,如模糊指数、距离参数和聚类数等。如何寻找合适的参数,从而使得利用模糊聚类技术处理和分析脑功能磁共振图像得到最佳的聚类结果,成了目前模糊聚类技术研究的焦点问题。近年来模糊聚类分析在脑功能磁共振图像处理的应用中如何选择合适的参数问题进行了综述和讨论。
As an important classifier of pattern recognition, fuzzy clustering analysis has drawn great concern in the field of functional magnetic resonance image processing and analysis. The key problem to apply fuzzy clustering technology in fMRI image processing and analysis is to find out proper parameters including fuzzy index, distance parameter, clustering number, et al that are suitable for image processing in brain functional magnetic resonance. How to obtain the suitable parameters in order to get the best clustering result has become the focus of FAC research. Recent development of parameters selection in the app!ication of FCA analysis into functional magnetic resonance image processing are reviewed and discussed in this paper.
出处
《国际生物医学工程杂志》
CAS
2007年第3期I0001-I0005,共5页
International Journal of Biomedical Engineering
基金
上海市重点学科建设资助项目(P0502)
上海理工大学博士科研启动经费资助项目(04-B-01)
关键词
功能磁共振成像
模糊聚类分析
图像处理
functional magnetic resonance imaging
fuzzy clustering analysis
image processing