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使用智能机器人超声设备监测心脏介入手术的策略

Strategy for Monitoring Cardiac Interventions with an Intelligent Robotic Ultrasound Device.

作者信息

Wang Shuangyi, Housden James, Zar Areeb, Gandecha Ruchi, Singh Davinder, Rhode Kawal

机构信息

School of Biomedical Engineering and Imaging Sciences, King's College London, 4th Floor North Wing, St Thomas' Hospital, London SE1 7EH, UK.

Xtronics Ltd., Gravesend, Kent DA12 2AD, UK.

出版信息

Micromachines (Basel). 2018 Feb 2;9(2):65. doi: 10.3390/mi9020065.

Abstract

In recent years, 3D trans-oesophageal echocardiography (TOE) has become widely used for monitoring cardiac interventions. The control of the TOE probe during the procedure is a manual task which is tedious and harmful for the operator when exposed to radiation. To improve this technique, an add-on robotic system has been developed for holding and manipulating a commercial TOE probe. This paper focuses on the probe adjustment strategy in order to accurately monitor the moving intra-operative catheters. The positioning strategy is divided into an initialization step based on a pre-planning method, and a localized adjustment step based on the robotic differential kinematics. A series of experiments was performed to evaluate the initialization and the localized adjustment steps. The results indicate a mean error less than 10 mm from the phantom experiments for the initialization step, and a median error less than 1.5 mm from the computer-based simulation experiments for the localized adjustment step. Compared to the much bigger image volume, it is concluded that the proposed methods are feasible for this application. Future work will focus on evaluating the method in a more realistic TOE scanning scenario.

摘要

近年来,三维经食管超声心动图(TOE)已广泛应用于心脏介入手术的监测。手术过程中对TOE探头的控制是一项手动任务,既繁琐又会使操作者在暴露于辐射时受到伤害。为改进这项技术,已开发出一种附加机器人系统,用于握持和操作商用TOE探头。本文重点关注探头调整策略,以便准确监测术中移动的导管。定位策略分为基于预规划方法的初始化步骤和基于机器人微分运动学的局部调整步骤。进行了一系列实验来评估初始化步骤和局部调整步骤。结果表明,初始化步骤的体模实验平均误差小于10毫米,局部调整步骤的计算机模拟实验中值误差小于1.5毫米。与大得多的图像体积相比,可以得出结论,所提出的方法对于该应用是可行的。未来的工作将集中在更真实的TOE扫描场景中评估该方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd2/6187734/16c18c2e0335/micromachines-09-00065-g001.jpg

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