Can I read TeleOR: Real-time Telemedicine System for Full-Scene Operating Room on EtoBox?

TeleOR: Real-time Telemedicine System for Full-Scene Operating Room by Wu, Yixuan; Hu, Kaiyuan; Shao, Qian; Chen, Jintai; Chen, Danny Z.; Wu, Jian is a scholarly article available to read on EtoBox.

What is TeleOR: Real-time Telemedicine System for Full-Scene Operating Room about?

The advent of telemedicine represents a transformative development in leveraging technology to extend the reach of specialized medical expertise to remote surgeries, a field where the immediacy of expert guidance is paramount. However, the intricate dynamics of Operating Room (OR) scene pose unique challenges for telemedicine, particularly in achieving high-fidelity, real-time scene reconstruction and transmission amidst obstructions and bandwidth limitations. This paper introduces TeleOR, a pioneering system designed to address these challenges through real-time OR scene reconstruction for Tele-intervention. TeleOR distinguishes itself with three innovative approaches: dynamic self-calibration, which leverages inherent scene features for calibration without the need for preset markers, allowing for obstacle avoidance and real-time camera adjustment; selective OR reconstruction, focusing on dynamically changing scene segments to reduce reconstruction complexity; and viewport-adaptive transmission, optimizing data transmission based on real-time client feedback to efficiently deliver high-quality 3D reconstructions within bandwidth constraints. Comprehensive experiments on the 4D-OR

Author

Wu, Yixuan; Hu, Kaiyuan; Shao, Qian; Chen, Jintai; Chen, Danny Z.; Wu, Jian

Published

2024

Language

EN