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首页> 外文期刊>Medical image analysis >Automatic generation of 3D coronary artery centerlines using rotational X-ray angiography.
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Automatic generation of 3D coronary artery centerlines using rotational X-ray angiography.

机译：使用旋转X射线血管造影术自动生成3D冠状动脉中心线。

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摘要

A fully automated 3D centerline modeling algorithm for coronary arteries is presented. It utilizes a subset of standard rotational X-ray angiography projections that correspond to one single cardiac phase. The algorithm is based on a fast marching approach, which selects voxels in 3D space that belong to the vascular structure and introduces a hierarchical order. The local 3D propagation speed is determined by a combination of corresponding 2D projections filtered with a vessel enhancing kernel. The best achievable accuracy of the algorithm is evaluated on simulated projections of a virtual heart phantom, showing that it is capable of extracting coronary centerlines with an accuracy that is mainly limited by projection and volume quantization (0.25 mm). The algorithm is reasonably insensitive to residual motion, which means that it is able to cope with inconsistencies within the projection data set caused by limited gating accuracy and respiration. Its accuracy on clinical data is evaluated based on expert ratings of extracted models of 17 consecutive clinical cases (10 LCA, 7 RCA). A success rate of 93.5% (i.e. with no or slight deviations) is achieved compared to 58.8% success rate of semi-automatically extracted models.
机译：提出了一种用于冠状动脉的全自动3D中线建模算法。它利用了对应于单个心脏相位的标准旋转X射线血管造影术投影的子集。该算法基于快速行进方法，该方法在3D空间中选择属于血管结构的体素并引入层次顺序。局部3D传播速度是由通过血管增强内核过滤的相应2D投影的组合确定的。在虚拟心脏幻影的模拟投影上评估了该算法的最佳可实现精度，表明该算法能够提取冠状动脉中心线，其精度主要受投影和体积量化（0.25毫米）的限制。该算法对残留运动相当不敏感，这意味着它能够应对由于门控精度和呼吸受限而导致的投影数据集中的不一致性。根据对17个连续临床病例（10 LCA，7 RCA）提取模型的专家评级，评估其在临床数据上的准确性。与半自动提取的模型的58.8％的成功率相比，成功率为93.5％（即无偏差或略有偏差）。

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