交互式和基于多模态的增强现实,用于远程辅助的数字外科显微镜

E. Wisotzky, Jean-Claude Rosenthal, P. Eisert, A. Hilsmann, Falko Schmid, M. Bauer, Armin Schneider, F. Uecker
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引用次数: 23

摘要

我们提出了一个交互式和基于多模式的增强现实系统,用于耳鼻喉(ENT)治疗的计算机辅助手术。该处理流水线采用全数字立体成像设备,支持多光谱和白光成像以生成高分辨率图像数据,由五个模块组成。输入/输出数据处理、混合多模态图像分析以及用于本地和远程手术辅助的双向交互式增强现实(AR)和混合现实(MR)接口与整个框架高度相关。混合多模态3D场景分析模块使用不同的波长对组织结构进行分类,并将该光谱数据与度量3D信息相结合。此外,我们提出了一种不依赖变焦的术中工具,用于虚拟听骨假体插入(例如镫骨切除术),保证了亚毫米范围(1/10毫米)的极高度量精度。双向交互式AR/MR通信模块保证低延迟,同时包含手术信息,避免信息过载。与显示无关的AR/MR可视化可以显示我们在数字双目、3D显示器或任何连接的头戴式显示器(HMD)内同步的分析数据。此外,分析的数据可以通过使用AR/MR的外部临床专家进行注释来丰富,并且可以准确地注册术前数据。这种合作手术系统的好处是多方面的,通过更容易的组织分类和降低手术风险,将大大改善患者的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactive and Multimodal-based Augmented Reality for Remote Assistance using a Digital Surgical Microscope
We present an interactive and multimodal-based augmented reality system for computer-assisted surgery in the context of ear, nose and throat (ENT) treatment. The proposed processing pipeline uses fully digital stereoscopic imaging devices, which support multispectral and white light imaging to generate high resolution image data, and consists of five modules. Input/output data handling, a hybrid multimodal image analysis and a bi-directional interactive augmented reality (AR) and mixed reality (MR) interface for local and remote surgical assistance are of high relevance for the complete framework. The hybrid multimodal 3D scene analysis module uses different wavelengths to classify tissue structures and combines this spectral data with metric 3D information. Additionally, we propose a zoom-independent intraoperative tool for virtual ossicular prosthesis insertion (e.g. stapedectomy) guaranteeing very high metric accuracy in sub-millimeter range (1/10 mm). A bi-directional interactive AR/MR communication module guarantees low latency, while consisting surgical information and avoiding informational overload. Display agnostic AR/MR visualization can show our analyzed data synchronized inside the digital binocular, the 3D display or any connected head-mounted-display (HMD). In addition, the analyzed data can be enriched with annotations by involving external clinical experts using AR/MR and furthermore an accurate registration of preoperative data. The benefits of such a collaborative surgical system are manifold and will lead to a highly improved patient outcome through an easier tissue classification and reduced surgery risk.
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