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一种用于腹腔镜手术中自动工具识别的智能套管针。

A smart trocar for automatic tool recognition in laparoscopic surgery.

作者信息

Toti Giulia, Garbey Marc, Sherman Vadim, Bass Barbara L, Dunkin Brian J

机构信息

University of Houston, Houston, TX, USA

University of Houston, Houston, TX, USA Methodist Institute for Technology, Innovation and Education, Houston, TX, USA.

出版信息

Surg Innov. 2015 Feb;22(1):77-82. doi: 10.1177/1553350614531659. Epub 2014 May 6.

Abstract

BACKGROUND

Operating rooms have become increasingly complex environments and more prone to errors because of loss of situation awareness. Adding computer intelligence to the operating room may help overcome these limitations particularly if the system can automatically track which step of an operation a surgeon is performing. To develop such a platform, it is necessary to track which laparoscopic instruments are being used and in which port they are inserted. This article describes the development and validation of a "Smart Trocar" that can automatically perform this function.

METHODS

A Smart Trocar system prototype was developed that uses a wireless camera attached to a standard laparoscopic port and custom software algorithms. The system recognizes color wheels attached to the handle of a laparoscopic instrument and compares the unique color pattern to an instrument library for proper tool identification. The system was tested for reliability in a box trainer environment using a variety of tool positions and levels of room light illumination.

RESULTS

Correct color classification was achieved in 96.7% of trials. There were no errors in detection of the color wheel in space. In addition, the distance of the color wheel from the camera did not influence results and correct classifications were evenly distributed among the 12 laparoscopic tool positions tested.

CONCLUSION

This work describes a Smart Trocar system that identifies which laparoscopic tool is being used and in which port and proves its reliability. The system is an important element of a more comprehensive program being developed to automatically understand what step of an operation a surgeon is performing and use these data to improve situation awareness in the operating room.

摘要

背景

手术室环境日益复杂,由于态势感知能力的缺失,更容易出现差错。在手术室引入计算机智能技术可能有助于克服这些局限,特别是如果该系统能够自动追踪外科医生正在进行手术的哪一步骤。为开发这样一个平台,有必要追踪正在使用的腹腔镜器械以及它们插入了哪个端口。本文描述了一种能够自动执行此功能的“智能套管针”的开发与验证过程。

方法

开发了一种智能套管针系统原型,该系统使用连接到标准腹腔镜端口的无线摄像头和定制软件算法。该系统识别附在腹腔镜器械手柄上的色轮,并将独特的颜色图案与器械库进行比较,以正确识别工具。该系统在箱式训练器环境中使用各种工具位置和不同水平的室内光照进行了可靠性测试。

结果

在96.7%的试验中实现了正确的颜色分类。在空间中检测色轮时没有出现错误。此外,色轮与摄像头之间的距离不影响结果,并且在测试的12个腹腔镜工具位置中,正确分类均匀分布。

结论

这项工作描述了一种智能套管针系统,该系统能够识别正在使用的腹腔镜工具及其插入的端口,并证明了其可靠性。该系统是正在开发的一个更全面程序中的重要组成部分,该程序旨在自动理解外科医生正在进行手术的哪一步骤,并利用这些数据提高手术室的态势感知能力。

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