Comparisons on Segmentation of Brain MR Image

摘要：

Image segmentation is a focused issue in image processing. Especially, brain segmentation is a key problem in neuroscience. In this study, our aim is to segment the real MR image into gray matter, white matter and cerebrospinal fluid. Several methods were compared. However, traditional methods such as fuzzy c-means, mixture Gaussian model cant achieve a satisfied result successfully. Markov random field (MRF) model is used and the experimental results show that MRF method is robust to noise which can achieves a perfect segmentation.

关键词： segmentation brain MR image fuzzy C-means mizture Gaussian model markov random field.

作者: Chunlan Yang Shuicai Wu Yanping Bai Hongjian Gao

作者单位: College of Life Science & Bioengineering,Beijing University of Technology

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 3344-3347

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）