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Cryo-Balloon Catheter Localization in Fluoroscopic Images

机译:荧光透视图像中的低温气球导管定位

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Minimally invasive catheter ablation has become the preferred treatment option for atrial fibrillation. Although the standard ablation procedure involves ablation points set by radio-frequency catheters, cryo-balloon catheters have even been reported to be more advantageous in certain cases. As electro-anatomical mapping systems do not support cryo-balloon ablation procedures, X-ray guidance is needed. However, current methods to provide support for cryo-balloon catheters in fluoroscopically guided ablation procedures rely heavily on manual user interaction. To improve this, we propose a first method for automatic cryo-balloon catheter localization in fluoroscopic images based on a blob detection algorithm. Our method is evaluated on 24 clinical images from 17 patients. The method successfully detected the cryo-balloon in 22 out of 24 images, yielding a success rate of 91.6 %. The successful localization achieved an accuracy of 1.00 mm ± 0.44 mm. Even though our methods currently fails in 8.4 % of the images available, it still offers a significant improvement over manual methods. Furthermore, detecting a landmark point along the cryo-balloon catheter can be a very important step for additional post-processing operations.
机译:微创导管消融已成为心房颤动的优选治疗选择。尽管标准消融程序涉及通过射频导管设定的消融点,但是在某些情况下甚至据报道甚至据报道冷冻球导管在某些情况下更有利。由于电解剖映射系统不支持冷冻气球消融程序,因此需要X射线引导。然而,在透视引导的消融程序中提供对Cryo-Balloon导管的电流依赖于手动用户的相互作用。为了改善这一点,我们提出了一种基于BLOB检测算法的荧光透视图像中的自动冷冻球导管定位方法。我们的方法是根据17例患者的24种临床图像评估。该方法成功地检测到24个图像中的22个低温气球,成功率为91.6%。成功的定位达到1.00mm±0.44 mm的精度。尽管我们的方法目前在可用的图像的8.4%的图像中失败,但它仍然提供了对手动方法的重大改进。此外,检测沿着冷冻球导管的地标点可以是用于额外的后处理操作的非常重要的步骤。

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