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节俭工程启发的可穿戴增强现实眼镜系统实现荧光引导的癌症手术。

Frugal engineering-inspired wearable augmented reality goggle system enables fluorescence-guided cancer surgery.

机构信息

Biophotonics Research Center, Department of Radiology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.

Division of Dermatology, Department of Medicine, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.

出版信息

Sci Rep. 2024 Oct 17;14(1):24402. doi: 10.1038/s41598-024-75646-0.

Abstract

Disparities in surgical outcomes often result from subjective decisions dictated by surgical training, experience, and available resources. To improve outcomes, surgeons have adopted advancements in robotics, endoscopy, and intra-operative imaging including fluorescence-guided surgery (FGS), which highlights tumors and anatomy in real-time. However, technical, economic, and logistic challenges hinder widespread adoption of FGS beyond high-resource centers. To overcome these impediments, we combined laser diodes, Raspberry Pi cameras and computers, off-the-shelf optical components, and 3D-printed parts to make a battery-powered, compact, dual white light and NIR imaging system that has comparable performance to existing bulkier, pricier, and wall-powered technologies. We combined these components with off-the-shelf augmented reality (AR) glasses to create a fully-wearable fluorescence imaging AR Raspberry Pi-based goggle system (FAR-Pi) and validated performance in a pre-clinical cancer surgery model. Novel device design ensures distance-independent coalignment between real and augmented views. As an open-source, affordable, and adaptable system, FAR-Pi is poised to democratize access to FGS and improve health outcomes worldwide.

摘要

手术结果的差异往往源于手术培训、经验和可用资源所决定的主观决策。为了改善手术结果,外科医生采用了机器人技术、内窥镜技术和术中成像技术的进步,包括荧光引导手术(FGS),该技术可实时突出显示肿瘤和解剖结构。然而,技术、经济和后勤方面的挑战阻碍了 FGS 在高资源中心之外的广泛采用。为了克服这些障碍,我们结合了激光二极管、树莓派相机和计算机、现成的光学组件以及 3D 打印部件,制造了一种电池供电、紧凑、双白光和近红外成像系统,其性能可与现有的更大、更昂贵且需要墙壁供电的技术相媲美。我们将这些组件与现成的增强现实(AR)眼镜相结合,创建了一个完全可穿戴的荧光成像 AR 树莓派眼镜系统(FAR-Pi),并在临床前癌症手术模型中验证了其性能。新颖的设备设计确保了真实视图和增强视图之间的距离独立性对准。作为一个开源、经济实惠且可适应的系统,FAR-Pi 有望使 FGS 普及,并改善全球的健康结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c2b/11487067/ddc3c3ff4db8/41598_2024_75646_Fig1_HTML.jpg

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