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引入脑机接口以促进术中医学成像控制 - 一项可行性研究。

Introducing a brain-computer interface to facilitate intraoperative medical imaging control - a feasibility study.

机构信息

Research in Orthopedic Computer Science (ROCS), Balgrist University Hospital, University of Zurich, Zurich, Switzerland.

Department of Orthopaedic Surgery, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.

出版信息

BMC Musculoskelet Disord. 2022 Jul 22;23(1):701. doi: 10.1186/s12891-022-05384-9.

Abstract

BACKGROUND

Safe and accurate execution of surgeries to date mainly rely on preoperative plans generated based on preoperative imaging. Frequent intraoperative interaction with such patient images during the intervention is needed, which is currently a cumbersome process given that such images are generally displayed on peripheral two-dimensional (2D) monitors and controlled through interface devices that are outside the sterile filed. This study proposes a new medical image control concept based on a Brain Computer Interface (BCI) that allows for hands-free and direct image manipulation without relying on gesture recognition methods or voice commands.

METHOD

A software environment was designed for displaying three-dimensional (3D) patient images onto external monitors, with the functionality of hands-free image manipulation based on the user's brain signals detected by the BCI device (i.e., visually evoked signals). In a user study, ten orthopedic surgeons completed a series of standardized image manipulation tasks to navigate and locate predefined 3D points in a Computer Tomography (CT) image using the developed interface. Accuracy was assessed as the mean error between the predefined locations (ground truth) and the navigated locations by the surgeons. All surgeons rated the performance and potential intraoperative usability in a standardized survey using a five-point Likert scale (1 = strongly disagree to 5 = strongly agree).

RESULTS

When using the developed interface, the mean image control error was 15.51 mm (SD: 9.57). The user's acceptance was rated with a Likert score of 4.07 (SD: 0.96) while the overall impressions of the interface was rated as 3.77 (SD: 1.02) by the users. We observed a significant correlation between the users' overall impression and the calibration score they achieved.

CONCLUSIONS

The use of the developed BCI, that allowed for a purely brain-guided medical image control, yielded promising results, and showed its potential for future intraoperative applications. The major limitation to overcome was noted as the interaction delay.

摘要

背景

迄今为止,手术的安全和准确执行主要依赖于基于术前成像生成的术前计划。在干预过程中需要频繁地与患者图像进行术中交互,这在目前是一个繁琐的过程,因为这些图像通常显示在周边的二维(2D)监视器上,并通过位于无菌区域之外的接口设备进行控制。本研究提出了一种基于脑机接口(BCI)的新的医学图像控制概念,允许无需依赖手势识别方法或语音命令即可进行免提和直接图像操作。

方法

设计了一个用于将三维(3D)患者图像显示在外部监视器上的软件环境,该环境具有基于 BCI 设备(即视觉诱发信号)检测到的用户脑信号进行免提图像操作的功能。在一项用户研究中,十位骨科医生使用开发的界面完成了一系列标准化的图像操作任务,以在计算机断层扫描(CT)图像中导航和定位预定义的 3D 点。通过外科医生导航的位置与预定义位置(真实位置)之间的平均误差来评估准确性。所有医生都使用五点 Likert 量表(1=强烈不同意至 5=强烈同意)对标准调查中的性能和潜在术中可用性进行评分。

结果

使用开发的界面时,平均图像控制误差为 15.51 毫米(标准差:9.57)。用户接受度的评分得分为 4.07(标准差:0.96),而用户对界面的总体印象评分为 3.77(标准差:1.02)。我们观察到用户的总体印象与其获得的校准分数之间存在显著相关性。

结论

使用开发的 BCI 进行纯粹基于大脑的医学图像控制,取得了有前景的结果,并显示了其在未来术中应用的潜力。需要克服的主要限制是交互延迟。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e871/9306028/0c2f89b2ad08/12891_2022_5384_Fig1_HTML.jpg

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