目的:冠状动脉造影是诊断冠心病的“金标准”。目前,冠状动脉狭窄的检测和评价方法不能满足临床需要,例如,之前没有检测预定血管段狭窄的研究,这在临床实践中是必要的。
方法:提出了两种血管狭窄检测方法来辅助诊断。第一种是自动方法,它可以自动提取整个冠状动脉树并标记所有可能的狭窄。第二种是交互式方法。使用这种方法,用户可以选择任何血管段对其狭窄进行进一步分析。
结果:实验表明,所提出的方法对于具有各种血管结构的血管造影照片具有鲁棒性。精度,灵敏度,自动狭窄检测方法的[公式:见正文]得分分别为0.821、0.757和0.788。进一步的研究证明,交互式方法可以提供更精确的狭窄检测结果,我们的定量分析更接近现实。
结论:提出的自动方法和交互式方法是有效的,可以在临床实践中相互补充。第一种方法可用于初步筛选,第二种方法可用于进一步的定量分析。我们认为提出的解决方案更适合CAD的临床诊断。
OBJECTIVE: Coronary angiography is the \"gold standard\" for diagnosing coronary artery disease. At present, the methods for detecting and evaluating coronary artery stenosis cannot satisfy the clinical needs, e.g., there is no prior study of detecting stenoses in prespecified vessel segments, which is necessary in clinical practice.
METHODS: Two vascular stenosis detection methods are proposed to assist the diagnosis. The first one is an automatic method, which can automatically extract the entire coronary artery tree and mark all the possible stenoses. The second one is an interactive method. With this method, the user can choose any vessel segment to do further analysis of its stenoses.
RESULTS: Experiments show that the proposed methods are robust for angiograms with various vessel structures. The precision, sensitivity, and [Formula: see text] score of the automatic stenosis detection method are 0.821, 0.757, and 0.788, respectively. Further investigation proves that the interactive method can provide a more precise outcome of stenosis detection, and our quantitative analysis is closer to reality.
CONCLUSIONS: The proposed automatic method and interactive method are effective and can complement each other in clinical practice. The first method can be used for preliminary screening, and the second method can be used for further quantitative analysis. We believe the proposed solution is more suitable for the clinical diagnosis of CAD.