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用于术中成像引导手术的基于增强现实的荧光成像护目镜的设计与测试

Design and Testing of Augmented Reality-Based Fluorescence Imaging Goggle for Intraoperative Imaging-Guided Surgery.

作者信息

Lee Seung Hyun, Quan Yu Hua, Kim Min Sub, Kwon Ki Hyeok, Choi Byeong Hyeon, Kim Hyun Koo, Kim Beop-Min

机构信息

Institute of Global Health Technology, College of Health Science, Korea University, Seoul 02841, Korea.

Department of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Korea.

出版信息

Diagnostics (Basel). 2021 May 21;11(6):927. doi: 10.3390/diagnostics11060927.

Abstract

The different pathways between the position of a near-infrared camera and the user's eye limit the use of existing near-infrared fluorescence imaging systems for tumor margin assessments. By utilizing an optical system that precisely matches the near-infrared fluorescence image and the optical path of visible light, we developed an augmented reality (AR)-based fluorescence imaging system that provides users with a fluorescence image that matches the real-field, without requiring any additional algorithms. Commercial smart glasses, dichroic beam splitters, mirrors, and custom near-infrared cameras were employed to develop the proposed system, and each mount was designed and utilized. After its performance was assessed in the laboratory, preclinical experiments involving tumor detection and lung lobectomy in mice and rabbits by using indocyanine green (ICG) were conducted. The results showed that the proposed system provided a stable image of fluorescence that matched the actual site. In addition, preclinical experiments confirmed that the proposed system could be used to detect tumors using ICG and evaluate lung lobectomies. The AR-based intraoperative smart goggle system could detect fluorescence images for tumor margin assessments in animal models, without disrupting the surgical workflow in an operating room. Additionally, it was confirmed that, even when the system itself was distorted when worn, the fluorescence image consistently matched the actual site.

摘要

近红外摄像头位置与用户眼睛之间的不同光路限制了现有近红外荧光成像系统在肿瘤边缘评估中的应用。通过利用一种能精确匹配近红外荧光图像和可见光光路的光学系统,我们开发了一种基于增强现实(AR)的荧光成像系统,该系统无需任何额外算法就能为用户提供与真实场景匹配的荧光图像。我们使用商用智能眼镜、二向色分束器、镜子和定制的近红外摄像头来开发该系统,并对每个组件进行了设计和应用。在实验室评估其性能后,我们进行了临床前实验,通过使用吲哚菁绿(ICG)对小鼠和兔子进行肿瘤检测和肺叶切除术。结果表明,该系统提供了与实际部位匹配的稳定荧光图像。此外,临床前实验证实,该系统可用于使用ICG检测肿瘤并评估肺叶切除术。基于AR的术中智能护目镜系统能够在动物模型中检测用于肿瘤边缘评估的荧光图像,而不会干扰手术室的手术流程。此外,还证实了,即使佩戴时系统本身发生变形,荧光图像仍始终与实际部位匹配。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca79/8224390/33e99d1566ad/diagnostics-11-00927-g001.jpg

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