基于CAG三维重建与超声图像的数据融合研究

临床中,融合X射线造影图像和血管内超声图像可以辅助医生更好的对冠心病进行诊断.本研究在X射线造影系统中对导引丝和血管骨架分别三维重建的基础上,利用最佳垂平面法求得导引丝序列点的最佳切向量,首先对超声图像在导引丝上定位,然后根据造影图像与超声图像提供的导引丝和血管骨架的空间关系求得超声图像的偏心角,最后利用四元数法对超声图像在导引丝上进行准确的定向.通过临床数据进行实验表明了该方法的可行性.相对于传统的融合方法,该方法不仅实现了超声图像空间角度的确定,而且具有实现简单、计算速度快等特点.

Data Fusion Based on 3D Reconstruction for CAG and Intravascular Ultrasound Images

Data fusion based on biplane angiography and intravascular ultrasound images can help doctors diagnose the coronary disease in clinic.In this paper, the optimal tangent vector were figured out for the catheter point sequences using the method of optimal vertical plane, based on the 3D reconstruction for catheter and vessel skeleton.The intravascular ultrasound images were located in the three-dimensional catheter.Then the eccentric angle of the intravascular ultrasound images were figured out, according to the spatial relationship between catheter and vessel provided by biplane angiography images and intravascular ultrasound images.Finally, the accurate angle between the base axis and the reference axis were given for the intravascular ultrasound images in the catheter by quaternion method.The experiments using real coronary angiography showed that the proposed method was feasible.Compared with the traditional fusion method, the method could determine the spatial angles for intravascular ultrasound images with easy realization and high computing speed.