Automatic MRI Brain Tumor Segmentation System Based on Localizing Active Contour Models | |
Wang, Ying ; Lin, Zhixian ; Cao, Jianguo ; Li, Maoqing ; Li MQ(李茂青) | |
2011 | |
关键词 | FRAMEWORK IMAGES |
英文摘要 | Conference Name:International Conference on Information Science, Automation and Material System. Conference Address: Zhengzhou, PEOPLES R CHINA. Time:MAY 21-22, 2011.; In this paper, an automatic segmentation system was developed for MRI brain tumor. Local region-based active contour models were suitable for heterogeneous features of brain MRI image. But the models are sensitive to initial contour, which generally requires manual setting. An automatic MRI brain tumor segmentation system were developed based on localized contour models, which can identify tumor-dominant slice, set initial contour automatically and segment tumor's contours from all MRI slices autonomously. K-means clustering and grayscale analysis were combined to identify tumor-dominant slice. Multi-threshold algorithm with the aid of erosion and dilation operators was adopted to obtain an initial contour for the tumor-dominant slice. The segmentation contour from the local active contour models was applied as initial contours of two-side neighboring slices. MRI brain tumor data were applied to validate the automatic segmentation system. |
语种 | 英语 |
出处 | http://dx.doi.org/10.4028/www.scientific.net/AMR.219-220.1342 |
出版者 | ADV MATER RES-SWITZ |
内容类型 | 其他 |
源URL | [http://dspace.xmu.edu.cn/handle/2288/86475] |
专题 | 信息技术-会议论文 |
推荐引用方式 GB/T 7714 | Wang, Ying,Lin, Zhixian,Cao, Jianguo,et al. Automatic MRI Brain Tumor Segmentation System Based on Localizing Active Contour Models. 2011-01-01. |
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