基于解剖结构模型和外极线约束的冠脉血管段匹配算法

Matching Algorithm of Vessels Based on Anatomic Model and Epipolar Line Constraint

采用基于解剖结构模型和外极线约束相结合的血管段匹配算法对两幅不同角度的血管骨架图进行匹配.利用解剖结构模型匹配大部分血管骨架点,形成特征点对,利用这些特征点对计算两幅图像间的几何变换矩阵.利用外极线约束法匹配剩余血管骨架点,通过互相关算法对匹配点对进一步优化.该综合算法可以弥补单一算法的不足并结合基于边缘检测的血管宽度提取方法获取血管的宽度信息,为医生的确诊提供参考依据.

A matching algorithm of coronary artery angiogram based on anatomic model and epipolar line constraint is proposed. Through this the feature points can be mapped and matched. The feature points are extracted from vascular skeleton by matching the anatomic structure to set up the geometrical transfer matrix. Other key points of vascular skeleton are matched by epipolar line constraints. The matched feature points are further optimized by correlative algorithm to improve the veracity of the matched points. Meanwhile, the width of the vessel obtained by the edge-detected method is helpful to reconstruct the three dimensional coronary arterial tree. The processing algorithm provides reliable diagnosis information.