Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, People's Republic of China.
Phys Med Biol. 2014 Feb 21;59(4):975-1003. doi: 10.1088/0031-9155/59/4/975. Epub 2014 Feb 7.
The clinical value of the 3D reconstruction of a coronary artery is important for the diagnosis and intervention of cardiovascular diseases. This work proposes a method based on a deformable model for reconstructing coronary arteries from two monoplane angiographic images acquired from different angles. First, an external force back-projective composition model is developed to determine the external force, for which the force distributions in different views are back-projected to the 3D space and composited in the same coordinate system based on the perspective projection principle of x-ray imaging. The elasticity and bending forces are composited as an internal force to maintain the smoothness of the deformable curve. Second, the deformable curve evolves rapidly toward the true vascular centerlines in 3D space and angiographic images under the combination of internal and external forces. Third, densely matched correspondence among vessel centerlines is constructed using a curve alignment method. The bundle adjustment method is then utilized for the global optimization of the projection parameters and the 3D structures. The proposed method is validated on phantom data and routine angiographic images with consideration for space and re-projection image errors. Experimental results demonstrate the effectiveness and robustness of the proposed method for the reconstruction of coronary arteries from two monoplane angiographic images. The proposed method can achieve a mean space error of 0.564 mm and a mean re-projection error of 0.349 mm.
冠状动脉的 3D 重建对于心血管疾病的诊断和介入具有重要的临床价值。本工作提出了一种基于可变形模型的方法，用于从两个不同角度获取的单平面血管造影图像中重建冠状动脉。首先，开发了一种外部力反向合成模型来确定外力，其中不同视图中的力分布根据 X 射线成像的透视投影原理被反向投影到 3D 空间并在同一坐标系中合成。弹性力和弯曲力被合成作为内力，以保持可变形曲线的平滑性。其次，在内部力和外部力的共同作用下，可变形曲线在 3D 空间和血管造影图像中快速向真实血管中心线演化。第三，使用曲线对齐方法构建血管中心线之间的密集匹配对应关系。然后，利用捆绑调整方法对投影参数和 3D 结构进行全局优化。该方法在考虑空间和重投影图像误差的情况下，在体模数据和常规血管造影图像上进行了验证。实验结果表明，该方法对于从两个单平面血管造影图像重建冠状动脉是有效和鲁棒的。该方法可以实现平均空间误差为 0.564mm 和平均重投影误差为 0.349mm。
