TeleOR: Real-time Telemedicine System for Full-Scene Operating Room
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Abstract (arXiv)
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 surgical scene dataset demostrate the superiority and applicability of TeleOR, illuminating the potential to revolutionize tele-interventions by overcoming the spatial and technical barriers inherent in remote surgical guidance.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 15 of its 34 references that are in the map. First posted on arXiv 29 Jul 2024.
Builds on
15 of 34 references.
References · 15
- 2017Neural 3D Mesh Renderercited by 437
- 2022Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgerycited by 122
- 2022Diffusion Deformable Model for 4D Temporal Medical Image Generationcited by 65
- 20224D-OR: Semantic Scene Graphs for OR Domain Modelingcited by 49
- 2017Image Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Imagescited by 30
- 2021Electrocardio Panorama: Synthesizing New ECG Views with Self-supervisioncited by 16
- 2023DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstructioncited by 10
- 2023From Capture to Display: A Survey on Volumetric Videocited by 9
- 2018SLAMCast: Large-Scale, Real-Time 3D Reconstruction and Streaming for Immersive Multi-Client Live Telepresencecited by 8
- 2022Dynamic Depth-Supervised NeRF for Multi-View RGB-D Operating Room Imagescited by 7
- 2023Understanding User Behavior in Volumetric Video Watching: Dataset, Analysis and Predictioncited by 6
- 2021SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidancecited by 5
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.