Automatic Classification of Alzheimers patients and Age-matched Healthy Subjects Using Independent Component Analysis

摘要：

In this paper, we proposed an automated novel method combining independent component analysis and voxel of interest for classification of MRI scans of Alzheimer patients and healthy subjects. The method mainly includes five steps: preprocessing of MR images, segmentation of gray matter of the brain, decomposition using independent component analysis, extraction of voxel of interest, and classification by a support vector machine classifier. The automated method of selection of voxel of interest has no disadvantages of manual voxel of interest, such as labor-intensive and time-consuming. The experimental results indicate that the proposed method is able to provide better classification results than that in some previously related works.

作者: Wenlu Yang Xiaojuan Li Xudong Huang

作者单位: Information Engineering College, Shanghai Maritime University, Shanghai, 200135, China Department of Radiology,Brigham and Womens Hospital and Harvard Medical School,Boston, MA, USA

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 153-156

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）