论文标题
使用血管对应性优化在荧光镜X射线序列中提取冠状动脉血管
Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization
论文作者
论文摘要
我们提出了一种从荧光X射线序列中提取冠状动脉血管的方法。鉴于源框架的血管结构，随后框架中的血管对应候选者是由新型的分层搜索方案生成的，以克服孔径问题。最佳对应关系是在马尔可夫随机字段优化框架内确定的。由于对比剂的流入，进行后处理以提取新近可见的血管分支。在18个序列的数据集上进行的定量和定性评估证明了该方法的有效性。
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.
