冠状动脉支架置入已经成为冠状动脉粥样硬化性心脏病的重要治疗手段。药物洗脱冠状动脉支架断裂(CSF)的识别与检测是目前的难点问题。血管内光学相干层析成像(IVOCT)系统以其极高的成像分辨率在CSF识别与检测方面具有独特优势。本文提出了一种在IVOCT中对冠状动脉支架精准重建的方法。该方法利用金属支架具有成像阴影这一特征,在血管边界分割后,将支架及其一定深度阴影的强度值进行累加生成一维数组,然后将一维数组按照回撤次序排列形成支架展开图像。与三维成像、纵切图像等支架重建方法相比,所提方法不仅可以保持支架的整体结构,而且避免了对操作人员空间想象力的要求。本文利用所提重建方法定量识别和分析了CSF,该方法可针对不同的支架结构选择不同的IVOCT成像参数。

At present, coronary stent implantation has become an important treatment for coronary atherosclerotic heart disease. It is difficult to identify and detect drug-eluting coronary stent fracture (CSF). Intravascular optical coherence tomography (IVOCT) has unique advantages in CSF identification and detection due to its extremely high imaging resolution. Given the above situation, we propose an accurate reconstruction method of coronary stents in IVOCT. On the basis of the fact that the metal stents have imaging shadows, after the vessel boundaries are segmented, the intensity values of a stent and its shadows at a certain depth are accumulated to generate a one-dimensional array. Then, the array is arranged according to the pullback order to produce a stent reconstruction image. Compared with other stent reconstruction methods (such as three-dimensional imaging, longitudinal image cutting), the proposed method can not only maintain the overall structure of the stents but also avoid the requirement of spatial imagination on the operators. In conclusion, the method proposed in this paper can quantitatively identify and analyze CSF, providing different IVOCT imaging parameters for different stent structures.