Automatic Segmentation of Coronary Artery Tree based on Multiscale Gabor Filtering and Transition Region Extraction

摘要：

This paper presents a novel segmentation method for extracting coronary artery tree from angiogram, which is based on multiscale Gabor filtering and transition region extraction. Firstly the enhanced image is obtained after multiscale Gabor filtering, then the transition region of the enhanced image is extracted using the local complexity algorithm, and the final segmentation threshold is calculated, finally the image segmentation is achieved. To evaluate the performance of the proposed approach, we carried out experiments on various sets of angiographic images, and compared its effects with those of the improved top-hat segmentation method. The experiments indicate that the proposed method outperforms the latter method about better extraction of small vessels, more background elimination, better visualized coronary artery tree and continuity of the vessels.

关键词： Segmentation multiscale Gabor filtering transition region extraction

作者: Fang Wang Guozhu Wang Lie Kang Juan Wang

作者单位: State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Rec State Key Laboratory for Multispectral Information Processing TechnologiesInstitute for Pattern Reco

会议类型: 国际会议

会议名称: 第七届多光谱图象处理与模式识别国际学术会议

会议地点: 桂林

会议语种:英文

页码: 1-5

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）