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在影像引导微创介入过程中开发无菌交互设备。

Development of a sterile Interaction Device during Image guided minimal-invasive Interventions.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:2506-2509. doi: 10.1109/EMBC48229.2022.9871053.

Abstract

For correct setting and control of imaging during image-guided Magnetic Resonance (MR) procedures (e.g. changing the slice orientation), the radiologist currently depends heavily on the assistants in the control room. The communication between the surgeon and the assistant is difficult due to acoustic noise generated by the MR gradients. The development for a dedicated interventional interaction device is addressed in this work, which includes the development and evaluation of a sterile, MR-compatible capacitive gesture controller. The gesture controller consists of a surgical drape with four capacitive sensors, that are made of conductive fabric. These sensors are based on the principle of electrical capacitance between isolated conductive structures. Measurements of these capacitances are exploited to calculate the distance of a hand to one of the sensors. By comparing the distances of the hand to each sensor, simple swipe gestures can be detected. The sensor unit is connected to a micro-controller, which allows direct and fast processing of the incoming data. To evaluate the prototype, a user study with 25 participants took place. Each user had to perform the four swiping gestures and the hold gesture in a specific order. The gesture controller is capable of registering five different gestures (left-right, right-left, up-down, down-up, hold). A survey of the second prototype showed, that in 92,4% of cases, the correct gesture was registered. Clinical relevance This interaction device allows the practicing physician to manipulate the imaging independently and in a sterile manner, thus enabling a significant improvement in work-flow.

摘要

为了正确设置和控制影像引导磁共振(MR)程序中的成像(例如改变切片方向),放射科医生目前严重依赖控制室的助手。由于 MR 梯度产生的声噪声,外科医生和助手之间的通信很困难。本工作针对专用介入交互设备的开发,包括开发和评估无菌、MR 兼容的电容式手势控制器。手势控制器由带有四个电容传感器的手术巾组成,这些传感器由导电织物制成。这些传感器基于隔离导电结构之间的电容原理。利用这些电容的测量值来计算手到一个传感器的距离。通过比较手到每个传感器的距离,可以检测到简单的滑动手势。传感器单元连接到微控制器,允许直接快速处理传入的数据。为了评估原型,进行了一项有 25 名参与者的用户研究。每个用户都必须按照特定顺序执行四个滑动手势和保持手势。手势控制器能够注册五个不同的手势(左右、左右、上下、上下、保持)。对第二个原型的调查表明,在 92.4%的情况下,正确的手势被注册。临床相关性这种交互设备允许执业医师独立且在无菌的情况下进行成像操作,从而显著提高工作流程效率。

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