IEEE J Biomed Health Inform. 2018 Sep;22(5):1531-1539. doi: 10.1109/JBHI.2017.2771829. Epub 2017 Nov 13.
Intravascular optical coherence tomography is the state-of-the-art imaging modality in percutaneous coronary intervention planning and evaluation, in which side branch ostium and main vascular measurements play critical roles. However, manual measurement is time consuming and labor intensive. In this paper, we propose a fully automatic method for side branch ostium detection and main vascular segmentation to make up manual deficiency. In our method, side branch ostium points are first detected and subsequently used to divide the lumen contour into side branch and main vascular regions. Based on the division, main vascular contour is then smoothly fitted for segmentation. In side branch ostium detection, our algorithm creatively converts the definition of curvature into the calculation of the signed included angles in global view, and originally applies a differential filter to highlight the feature of side branch ostium points. A total of 4618 images from 22 pullback runs were used to evaluate the performance of the presented method. The validation results of side branch detection were TPR = 82.8 $%$, TNR = 98.7$%$ , PPV = 86.8$%$, NPV = 98.7$%$. The average ostial distance error (ODE) was 0.22 mm, and the DSC of main vascular segmentation was 0.96. In conclusion, the qualitative and quantitative evaluation indicated that the presented method is effective and accurate.
血管内光学相干断层扫描是经皮冠状动脉介入治疗规划和评估的最新成像方式，其中侧支开口和主血管测量起着关键作用。然而，手动测量既耗时又费力。在本文中，我们提出了一种用于侧支开口检测和主血管分割的全自动方法，以弥补手动测量的不足。在我们的方法中，首先检测侧支开口点，然后利用这些点将管腔轮廓划分为侧支和主血管区域。基于划分结果，对主血管轮廓进行平滑拟合以完成分割。在侧支开口检测中，我们的算法创造性地将曲率的定义转化为全局视角下的有符号夹角计算，并首次应用微分滤波器来突出侧支开口点的特征。总共使用了 22 次回撤过程中的 4618 张图像来评估所提出方法的性能。侧支检测的验证结果为 TPR = 82.8%，TNR = 98.7%，PPV = 86.8%，NPV = 98.7%。开口距离误差（ODE）的平均值为 0.22 毫米，主血管分割的 DSC 为 0.96。总之，定性和定量评估表明，所提出的方法是有效且准确的。
