论文标题
电磁跟踪和术前数据数据的生物电登记
Bioelectric Registration of Electromagnetic Tracking and Preoperative Volume Data
论文作者
论文摘要
对于微创的血管内手术,人体内部导管和导线的定位至关重要。电磁(EM)跟踪是一项允许本地化此类手术仪器的技术。为了将术中术中的仪器定位在术前的体积数据方面,有必要将术前和术中成像带入相同的坐标框架。在大多数现有解决方案中,此类注册需要其他交互,并修改过程的原始工作流程。我们提出了一种利用生物电信号的新方法,以初始化并注册术前量到EM跟踪系统,而无需显着更改介入的工作流程。我们设想了我们在心脏生理学(EP)程序中最自然的用法,其中EP导管已经配备了所有必要的感应,包括用于测量电生理信号的电感和用于导管定位的EM跟踪。我们使用EP导管进行生物电感传感来检测脉管系统的局部特征,同时推进人体内部的导管。此类功能可以在术前数据中的过程之前自动标记。生物电和EM跟踪的组合可以在EM跟踪空间内定位血管特征,例如分叉和狭窄。将它们映射到术前数据会自动注册患者的CT空间进行EM跟踪。所提出的注册过程完全基于生物电感的特征,不需要外部标记或其他介入的成像设备。
For minimally invasive endovascular surgery, the localization of catheters and guidewires inside the human body is essential. Electromagnetic (EM) tracking is one technology that allows localizing such surgical instruments. For localizing intra-operatively EM-tracked instruments with respect to preoperative volume data, it is necessary to bring pre- and intraoperative imaging into the same coordinate frame. In most existing solutions, such registration requires additional interactions, modifying the procedure's original workflow. We propose a new method taking advantage of Bioelectric signals to initialize and register preoperative volumes to the EM tracking system without significantly changing the interventional workflow. We envision the most natural use-case of our concept in cardiac electrophysiology (EP) procedures, in which EP catheters are already equipped with all the necessary sensing, including electric sensing for the measurement of electrophysiological signals and EM tracking for catheter localization. We use EP catheters for Bioelectric sensing to detect local features of the vasculature while advancing the catheter inside the human body. Such features can be automatically labeled before the procedure within the preoperative data. The combination of Bioelectric and EM tracking can localize vascular features such as bifurcations and stenosis within the EM tracking space. Mapping them to preoperative data automatically registers patients' CT space to EM tracking. The proposed registration process is entirely based on Bioelectric sensed features, with no need for external markers or other interventional imaging devices.