ClipGS-VR: Immersive and Interactive Cinematic Visualization of Volumetric Medical Data in Mobile Virtual Reality

📅 2026-01-27
📈 Citations: 0
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🤖 AI Summary
This work addresses the dual challenges of efficiency and visual fidelity in interactive medical volume visualization with arbitrary-angle slicing for mobile virtual reality. We propose an optimized framework based on 3D Gaussian Splatting that restructures the neural inference pipeline of ClipGS, integrates precomputed multi-view slice states into a unified rendering structure, and introduces a gradient-guided opacity modulation mechanism. Our approach achieves, for the first time, real-time high-fidelity arbitrary-angle slice rendering of medical volumes on consumer-grade mobile VR devices, delivering near offline-rendering quality while significantly enhancing interactivity and system usability.

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📝 Abstract
High-fidelity cinematic medical visualization on mobile virtual reality (VR) remains challenging. Although ClipGS enables cross-sectional exploration via 3D Gaussian Splatting, it lacks arbitrary-angle slicing on consumer-grade VR headsets. To achieve real-time interactive performance, we introduce ClipGS-VR and restructure ClipGS's neural inference into a consolidated dataset, integrating high-fidelity layers from multiple pre-computed slicing states into a unified rendering structure. Our framework further supports arbitrary-angle slicing via gradient-based opacity modulation for smooth, visually coherent rendering. Evaluations confirm our approach maintains visual fidelity comparable to offline results while offering superior usability and interaction efficiency.
Problem

Research questions and friction points this paper is trying to address.

cinematic visualization
volumetric medical data
mobile virtual reality
arbitrary-angle slicing
interactive visualization
Innovation

Methods, ideas, or system contributions that make the work stand out.

Gaussian Splatting
mobile VR
volumetric visualization
arbitrary-angle slicing
real-time rendering
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