ROCVJul 23, 2019

Reflective-AR Display: An Interaction Methodology for Virtual-Real Alignment in Medical Robotics

arXiv:1907.10138v228 citations
Originality Incremental advance
AI Analysis

This addresses the problem of safe and efficient robot positioning in minimally invasive surgery for medical staff, representing an incremental improvement in AR interaction methods.

The paper tackled the challenge of perspective ambiguities in aligning surgical robots during setup by proposing a reflective-AR display system for multi-view augmented reality guidance, resulting in improved interactive alignment of virtual and real robots as demonstrated in experiments.

Robot-assisted minimally invasive surgery has shown to improve patient outcomes, as well as reduce complications and recovery time for several clinical applications. While increasingly configurable robotic arms can maximize reach and avoid collisions in cluttered environments, positioning them appropriately during surgery is complicated because safety regulations prevent automatic driving. We propose a head-mounted display (HMD) based augmented reality (AR) system designed to guide optimal surgical arm set up. The staff equipped with HMD aligns the robot with its planned virtual counterpart. In this user-centric setting, the main challenge is the perspective ambiguities hindering such collaborative robotic solution. To overcome this challenge, we introduce a novel registration concept for intuitive alignment of AR content to its physical counterpart by providing a multi-view AR experience via reflective-AR displays that simultaneously show the augmentations from multiple viewpoints. Using this system, users can visualize different perspectives while actively adjusting the pose to determine the registration transformation that most closely superimposes the virtual onto the real. The experimental results demonstrate improvement in the interactive alignment of a virtual and real robot when using a reflective-AR display. We also present measurements from configuring a robotic manipulator in a simulated trocar placement surgery using the AR guidance methodology.

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