An Improved AntTree Algorithm for MRI Brain Segmentation

摘要：

In this paper, an improved method is proposed based on the AntTree algorithm to deal with MRI brain segmentation. This algorithm uses a new tree-structure model to accelerate the calculation of segmenting the brain structure into brain structure, while matter, grey matter, and cerebrospinal fluid. The experimental results indicated that this new approach has made full usage of the pixels information of MRL Compared with K-means algorithm and FCM algorithm, the results show that the improved AntTree algorithm is characterized by faster, robustness and accurateness.

作者: Li Chenling Zeng Wenhua Zhuang Jiahe

作者单位: Key Laboratory for Intelligent Information Technology of Fujian Province Software School of Xiamen University,P.R.China

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 679-683

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）