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Target tracking accuracy and latency with different 4D ultrasound systems – a robotic phantom study

机译:不同4D超声系统的目标跟踪精度和延迟 - 机器人幻影研究

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Ultrasound (US) imaging, in contrast to other image guidance techniques, offers the distinct advantage of providing volumetric image data in real-time (4D) without using ionizing radiation.The goal of this study was to perform the first quantitative comparison of three different 4D US systems with fast matrix array probes and real-time data streaming regarding their target tracking accuracy and system latency.Sinusoidal motion of varying amplitudes and frequencies was used to simulate breathing motion with a robotic arm and a static US phantom.US volumes and robot positions were acquired online and stored for retrospective analysis.A template matching approach was used for target localization in the US data.Target motion measured in US was compared to the reference trajectory performed by the robot to determine localization accuracy and system latency.Using the robotic setup, all investigated 4D US systems could detect a moving target with sub-millimeter accuracy.However, especially high system latency increased tracking errors substantially and should be compensated with prediction algorithms for respiratory motion compensation.
机译:与其他图像引导技术相比,超声(US)成像提供了在不使用电离辐射的情况下在实时(4D)中提供体积图像数据的明显优点。本研究的目标是执行三种不同的第一次定量比较4D US系统具有快速矩阵阵列的探测和关于其目标跟踪精度和系统延迟的实时数据流。不同幅度和频率的脉动运动用于模拟带有机器人臂和静态US Phantom.us卷和机器人的呼吸运动在线获取位置并存储用于回顾性分析。模板匹配方法用于在美国数据中的目标定位中用于目标定位。与机器人执行的参考轨迹进行比较,以确定本地化准确性和系统延迟。使用机器人设置,所有调查的4D美国系统都可以检测亚毫米精度的移动目标。但是,特别是Hi GH系统延迟基本上增加了跟踪误差,并且应该用预测算法来补偿呼吸运动补偿。

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