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Holoview: An Immersive Mixed-Reality Visualization System for Anatomical Education

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arxiv 2501.08736 v4 pith:W7JOZZ5C submitted 2025-01-15 cs.GR cs.HC

classification cs.GRcs.HC
keywords holoviewsystemanatomicalimmersiveanatomycross-sectionalintuitivelearning
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We present Holoview, an augmented reality (AR) system designed to support immersive and interactive learning of human anatomy. Holoview enables users to dynamically explore volumetric anatomical data through intuitive hand gestures in a 3D AR environment, allowing inspection of individual organs and cross-sectional views via clipping and bioscope features. The system adopts a lightweight client-server architecture optimized for real-time performance on the HoloLens through hybrid and foveated rendering. Our user study demonstrated Holoview's educational effectiveness, with participants showing a 135 percent improvement in task-specific knowledge and reporting increased confidence in understanding anatomical structures. The system was perceived as engaging and intuitive, particularly for organ selection and cross-sectional exploration, with low cognitive load and increasing ease of use over time. These findings highlight Holoview's potential to enhance anatomy learning through immersive, user-centered AR experiences.

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  1. Super-Gaussian: Interactive Scene Editing for 3D Gaussian Splatting and NLI-Based Volume Visualization in Virtual Reality

    cs.HC 2026-08 conditional novelty 7.0 of 10

    A VR volume visualization framework that clusters Gaussian splats into selectable super-Gaussians and couples brush-based selection with natural language queries for interactive scene editing.

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