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基于增强现实的腕关节镜导航系统:可行性

Augmented reality-based navigation system for wrist arthroscopy: feasibility.

作者信息

Zemirline Ahmed, Agnus Vincent, Soler Luc, Mathoulin Christophe L, Obdeijn Miryam, Liverneaux Philippe A

机构信息

Department of Hand Surgery, Strasbourg University Hospitals, France ; Institut de Recherche sur les Cancers de l'Appareil Digestifs, Strasbourg, France.

Institut de Recherche sur les Cancers de l'Appareil Digestifs, Strasbourg, France.

出版信息

J Wrist Surg. 2013 Nov;2(4):294-8. doi: 10.1055/s-0033-1359321.

DOI:10.1055/s-0033-1359321
PMID:24436832
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3858680/
Abstract

PURPOSE

In video surgery, and more specifically in arthroscopy, one of the major problems is positioning the camera and instruments within the anatomic environment. The concept of computer-guided video surgery has already been used in ear, nose, and throat (ENT), gynecology, and even in hip arthroscopy. These systems, however, rely on optical or mechanical sensors, which turn out to be restricting and cumbersome. The aim of our study was to develop and evaluate the accuracy of a navigation system based on electromagnetic sensors in video surgery.

METHODS

We used an electromagnetic localization device (Aurora, Northern Digital Inc., Ontario, Canada) to track the movements in space of both the camera and the instruments. We have developed a dedicated application in the Python language, using the VTK library for the graphic display and the OpenCV library for camera calibration.

RESULTS

A prototype has been designed and evaluated for wrist arthroscopy. It allows display of the theoretical position of instruments onto the arthroscopic view with useful accuracy.

DISCUSSION

The augmented reality view represents valuable assistance when surgeons want to position the arthroscope or locate their instruments. It makes the maneuver more intuitive, increases comfort, saves time, and enhances concentration.

摘要

目的

在视频手术中,尤其是在关节镜检查中,一个主要问题是在解剖环境中定位摄像头和器械。计算机辅助视频手术的概念已经应用于耳鼻喉科(ENT)、妇科,甚至髋关节镜检查中。然而,这些系统依赖于光学或机械传感器,结果证明它们具有局限性且使用不便。我们研究的目的是开发并评估一种基于电磁传感器的视频手术导航系统的准确性。

方法

我们使用电磁定位设备(奥罗拉,北方数字公司,加拿大安大略省)来跟踪摄像头和器械在空间中的运动。我们用Python语言开发了一个专用应用程序,使用VTK库进行图形显示,使用OpenCV库进行摄像头校准。

结果

已经设计并评估了一个用于腕关节镜检查的原型。它能够以有用的精度在关节镜视图上显示器械的理论位置。

讨论

当外科医生想要定位关节镜或找到他们的器械时,增强现实视图提供了有价值的帮助。它使操作更直观,增加舒适度,节省时间,并提高注意力。

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