A Segmentation Algorithm of Intracranial Hemorrhage CT Image

摘要：

To develop a computer aided detection (CAD) system that improves diagnostic accuracy of intracranial hemorrhage on cerebral CT. A method for CT image segmentation of brain is proposed, with which, several regions that are suspicious of hemorrhage can be segmented rapidly and effectively. Extracting intracranial area algorithm is introduced firstly to extract intracranial area. Secondly, FCM is employed twice, we named it with TFCM. FCM is first employed to identify areas of intracranial hemorrhage. Finally, FCM is employed to segment the lesions. Experimental results on real medical images demonstrate the efficiency and effectiveness.

关键词： Fuzzy C-means (FCM) Intracranial hemorrhage Computed tomography (CT)

作者: Haibo Wang Zhiguo Chen Jianzhi Wang

作者单位: enter of Educational Technology and Information Mudanjiang Medical University Mudanjiang, China Center of Educational Technology and Information Mudanjiang Medical University Mudanjiang, China Department of Physical Education Mudanjiang Medical University Mudanjiang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 422-426

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）