基于多平面重建提取冠脉轮廓线的曲面重建算法

Curved planar reformation algorithm based on coronary artery outline extraction by multi-planar reformation

针对三维切割及多平面重建只能获取组织或器官的几何平面信息,无法将弯曲结构的组织或器官展示在单张图片上的问题,实现了基于多平面重建（MPR）提取轮廓线的冠脉曲面重建（CPR）算法。首先,利用多平面重建获取冠脉轮廓的离散点;然后,对离散点进行Cardinal样条插值,获取平滑的轮廓拟合曲线;其次,沿着感兴趣方向对轮廓线进行投影形成扫描曲面;最后,显示扫描曲面对应的心脏体数据,得到冠脉重建曲面。实验结果表明,在绘制速度上,与三维切割法和三维数据场法相比,冠脉轮廓线提取速度提高了每秒4~6帧,绘制时间较短。在绘制质量上,与三维分割法相比,得到的冠脉曲面成像清晰,结构完整,有助于医师对病变的直观分析,能满足实际临床诊疗需求。

To solve the problems of three-dimensional clipping and Multi-Planar Reformation（ MPR） that only the geometrical information of the tissues or organs can be obtained and the structure of a curving organ cannot be displayed in a single image, a Curved Planar Reformation（ CPR） algorithm based on MPR to extract the outline was proposed to reform the coronary artery. Firstly, the discrete points expressing the outline of the coronary artery were extracted by using MPR.Afterwards, the Cardinal interpolation was used to get smooth outline fitting curve. Secondly, the outline was projected along the interested direction to get the scanning curved planar. Finally, the scanning curved planar corresponding to the volume data of the cardiac was displayed, so the CPR image of artery was got. The experimental results show that, compared with three-dimensional clipping method and three-dimensional data field method, the increment for the extracting speed of the coronary artery outline is about 4 to 6 frames per second, and the rendering time is shorter. On the aspect of rendering quality,compared with three-dimensional segmentation method, the image of coronary artery curved plane is clear and complete, which is helpful for doctors to analyze the lesion clearly and satisfies the demands of actual clinical diagnosis.