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Cryo-Balloon Catheter Localization in Fluoroscopic Images

机译:荧光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房颤的首选治疗选择。尽管标准消融程序涉及射频导管设置的消融点,但据报道,在某些情况下,低温气囊导管更为有利。由于电解剖标测系统不支持冷冻气球消融程序,因此需要X射线引导。但是,当前在荧光镜引导的消融手术中为冷冻气球导管提供支持的方法严重依赖于用户的手动交互。为了改善这一点,我们提出了一种基于斑点检测算法的自动低温球囊导管在荧光镜图像中定位的方法。我们的方法在来自17位患者的24幅临床图像上进行了评估。该方法成功地在24张图像中的22张中检测到了低温气球,成功率为91.6%。成功的定位实现了1.00 mm±0.44 mm的精度。即使我们的方法目前在8.4%的可用图像中都失败了,但与手动方法相比仍提供了重大改进。此外,对于其他后处理操作来说,检测沿低温气球导管的界标点可能是非常重要的步骤。

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