Tsompou Panagiota I, Andrikos Ioannis O, Karanasiou Georgia S, Sakellarios Antonis I, Tsigkas Nikolaos, Kigka Vassiliki I, Kyriakidis Savvas, Michalis Lampros K, Fotiadis Dimitrios I, Author S B
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:1576-1579. doi: 10.1109/EMBC44109.2020.9176178.
Quantitative Coronary Angiography (QCA) is an important tool in the study of coronary artery disease. Validation of this technique is crucial for their ongoing development and refinement although it is difficult due to several factors such as potential sources of error. The present work aims to a further validation of a new semi-automated method for three-dimensional (3D) reconstruction of coronary bifurcations arteries based on X-Ray Coronary Angiographies (CA). In a dataset of 40 patients (79 angiographic views), we used the aforementioned method to reconstruct them in 3D space. The validation was based on the comparison of these 3D models with the true silhouette of 2D models annotated by an expert using specific metrics. The obtained results indicate a good accuracy for the most parameters (≥ 90 %). Comparison with similar works shows that our new method is a promising tool for the 3D reconstruction of coronary bifurcations and for application in everyday clinical use.
定量冠状动脉造影(QCA)是研究冠状动脉疾病的重要工具。尽管由于潜在误差源等多种因素,对该技术进行验证很困难,但对于其持续发展和完善至关重要。目前的工作旨在进一步验证一种基于X射线冠状动脉造影(CA)对冠状动脉分叉进行三维(3D)重建的新半自动方法。在一个包含40名患者(79个血管造影视图)的数据集里,我们使用上述方法在三维空间中对其进行重建。验证基于将这些三维模型与专家使用特定指标标注的二维模型的真实轮廓进行比较。获得的结果表明,大多数参数的准确性良好(≥90%)。与类似工作的比较表明,我们的新方法是用于冠状动脉分叉三维重建及日常临床应用的有前景的工具。