Image-Based Respiratory Motion Compensation for Fluoroscopic Coronary Roadmapping

摘要：

We present a new image-based respiratory motion compensation method for coronary roadmapping in fluoroscopic images. A temporal analysis scheme is proposed to identify static structures in the image gradient domain. An extended Lucas-Kanade algorithm involving a weighted sum-of-squared-difference (WSSD) measure is proposed to estimate the soft tissue motion in the presence of static structures. A temporally compositional motion model is used to deal with large image motion incurred by deep breathing. Promising results have been shown in the experiments conducted on clinical data.

作者: Ying Zhu Yanghai Tsin Hari Sundar Frank Sauer

作者单位: Siemens Corporate Research,755 College Road East, Princeton, NJ 08540, USA Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, USA

会议类型: 国际会议

会议名称: The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention(第13届医学影像计算与计算机辅助介入国际会议 MICCAI 2010)

会议地点: 北京

会议语种:英文

页码: 287–294

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）