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首页> 外文期刊>IEEE transactions on automation science and engineering >Ultrasound-Assisted Guidance With Force Cues for Intravascular Interventions
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Ultrasound-Assisted Guidance With Force Cues for Intravascular Interventions

机译:超声辅助引导下力提示血管内介入治疗

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摘要

Image guidance during minimally invasive intravascular interventions is primarily achieved based on X-ray fluoroscopy, which has several limitations including limited 3-D imaging capability, significant doses of radiation to operators, and lack of contact force measurement between the cardiovascular tissue and interventional tools. Ultrasound imaging can be adopted to complement or possibly replace 2-D fluoroscopy for intravascular interventions due to its portability, safety to use, and the ability of providing depth information. However, it is challenging to precisely visualize catheters and guidewires in the ultrasound images. In this paper, we propose a novel method to figure out both the position and orientation of the catheter tip in 2-D ultrasound images in real time by detecting and tracking a passive marker attached to the catheter tip. Moreover, the contact force can be estimated simultaneously as well via measuring the length variation of the marker. A geometrical model-based method is introduced to detect the initial position of the marker, and a Kanade-Lucas-Tomasi-based algorithm is developed to track the position, orientation, and length of the marker. The ex vivo experiment results validate the effectiveness of the proposed approach in automatically locating the catheter tip in ultrasound images and its capability of sensing the contact force. Therefore, it can be concluded that the presented method can be utilized to better facilitate operators during intravascular interventions.
机译:在微创血管内干预过程中的图像引导主要是基于X射线荧光透视法实现的,X射线荧光透视法具有一些局限性,包括受限的3D成像能力,向操作人员的大量辐射以及心血管组织与介入工具之间缺乏接触力测量。由于其便携性,使用安全性和提供深度信息的能力,因此可以采用超声成像来补充或替代二维荧光透视法进行血管内干预。然而,在超声图像中精确地可视化导管和导丝是具有挑战性的。在本文中,我们提出了一种新颖的方法,通过检测和跟踪附着在导管末端的无源标记,可以实时找出二维超声图像中导管末端的位置和方向。此外,也可以通过测量标记的长度变化同时估计接触力。引入了一种基于几何模型的方法来检测标记的初始位置,并开发了一种基于Kanade-Lucas-Tomasi的算法来跟踪标记的位置,方向和长度。体外实验结果验证了该方法在超声图像中自动定位导管尖端的有效性及其感测接触力的能力。因此,可以得出结论,所提出的方法可以在血管内干预期间更好地帮助操作者。

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