Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:2199-2202. doi: 10.1109/EMBC48229.2022.9871789.
The placement and visualization of coronary stents during fluoroscopy depends mainly on the detection of balloon markers and their connecting guidewires. In this paper, a novel template-based approach is proposed to detect balloon markers and guidewires in cardiac fluoroscopic images. In particular, guidewires are detected based on balloon markers only, without prior knowledge of the background or guidewire elements. Also, while earlier techniques used circular models of balloon markers, we propose a more realistic elliptical model. Training and the testing datasets for balloon marker and guidewire detection were collected from different Cathlab systems and annotated by an application specialist with 10 years of experience in this field. The balloon-marker detector achieved a precision of 98.5%. Within 3-pixel tolerance, the guidewire detector achieved a matching percentage of 99.5% with the true guidewire using a customized evaluation method. Moreover, the guidewire detector achieved a mean Hausdorff distance of 3.3 pixels (0.6 mm) and a longest-common-substring (LCS) distance with a mean matching percentage of 87% within 1-pixel tolerance. Clinical Relevance- The proposed novel technique of detecting the guidewire offers a constant computational time and insensitivity to the body structures or the guidewire-like elements (such as the surgical wires). This leads to improved stent visualization and reasonable processing times.
在荧光透视检查过程中,冠状动脉支架的定位和可视化主要依赖于对球囊标记物及其连接导丝的检测。本文提出了一种新的基于模板的方法,用于检测心脏荧光透视图像中的球囊标记物和导丝。特别是,导丝的检测仅基于球囊标记物,无需事先了解背景或导丝元素。此外,虽然早期的技术使用球囊标记物的圆形模型,但我们提出了一个更现实的椭圆模型。球囊标记物和导丝检测的训练和测试数据集是从不同的 Cathlab 系统中收集的,并由一位在该领域拥有 10 年经验的应用专家进行注释。球囊标记物检测器的精度达到了 98.5%。在 3 个像素的容差内,使用定制的评估方法,导丝检测器与真实导丝的匹配率达到了 99.5%。此外,导丝检测器的平均 Hausdorff 距离为 3.3 个像素(0.6 毫米),最长公共子串(LCS)距离的平均匹配率在 1 个像素的容差内达到 87%。临床相关性- 所提出的用于检测导丝的新方法具有恒定的计算时间,并且不受身体结构或导丝状元素(如手术线)的影响。这可以改善支架的可视化效果,并实现合理的处理时间。