Segmentation Method of Degree-based Transition Region Extraction for Coronary Angiograms

摘要：

Aiming at the complex background of coronary angiograms, weak contrast between the coronary arteries and the background, a new segmentation method based on transition region extraction of degree is proposed. Firstly, the paper analyzes the characteristic of coronary angiograms. Secondly, 6 different Gaussian matched templates are used to enhance the coronary angiograms in order to remove the background. Finally, the coronary arteries are obtained with the method of degree-based transition region extraction. The experiments indicate that the proposed method outperforms the segmentation method based on not only top-hat but also Gaussian filter about the small vessels extraction, connectivity and effectiveness. The method is indeed valuable for diagnosis and the quantitative analysis of coronary arteries.

关键词： image segmentation Gaussian filtering graph theory degree transition region

作者: Wenwei Kang Wenying Kang Wanzhong Chen Bin Liu Wei Wu

作者单位: College of Communication Engineering Jilin University Changchun Jilin Province China Cardiovascular Department Second Hospital of Jilin University Changchun Jilin Province China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 466-470

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）