We present a method to extract coronary vessels from fluoroscopic x-ray sequences. Given the vessel structure for the source frame, vessel correspondence candidates in the subsequent frame are generated by a novel hierarchical search scheme to overcome the aperture problem. Optimal correspondences are determined within a Markov random field optimization framework. Post-processing is performed to extract vessel branches newly visible due to the inflow of contrast agent. Quantitative and qualitative evaluation conducted on a dataset of 18 sequences demonstrates the effectiveness of the proposed method.

翻译：我们提出了一个从含氟透光X射线序列中提取冠状船只的方法,鉴于源框架的船体结构,下一个框架的船舶通信候选系统是由克服孔径问题的新式等级搜索机制产生的,最佳通信是在Markov随机实地优化框架内确定的,后处理是为了提取由于对比剂流入而新可见的船舶分支。 对18个序列数据集进行的定量和定性评估显示了拟议方法的有效性。