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.

翻译：在移动虚拟现实（VR）中实现高保真度的电影化医学可视化仍具挑战性。尽管ClipGS通过3D高斯泼溅实现了横截面探索，但在消费级VR头显上缺乏任意角度切片功能。为实现实时交互性能，我们提出了ClipGS-VR，并将ClipGS的神经推理重构为统一的数据集，将多个预计算切片状态的高保真层集成到统一的渲染结构中。我们的框架进一步支持通过基于梯度的不透明度调制实现任意角度切片，以实现平滑、视觉连贯的渲染。评估证实，我们的方法在保持与离线结果相当的视觉保真度的同时，提供了更优的可用性和交互效率。