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Multi-Layer Gaussian Splatting for Immersive Anatomy Visualization.

Constantin Kleinbeck, Hannah Schieber, Klaus Engel

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    |March 10, 2025
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    Summary
    This summary is machine-generated.

    We developed a new method using Gaussian Splatting (GS) for efficient 3D medical image visualization. This approach enables real-time rendering of complex anatomies on less powerful devices, improving accessibility for medical education and planning.

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    Area of Science:

    • Medical Imaging
    • Computer Graphics
    • Virtual Reality

    Background:

    • Path tracing of volumetric medical data (e.g., computed tomography scans) offers realistic 3D visualizations.
    • Immersive virtual reality (VR) enhances understanding of complex anatomies, aiding medical education and planning.
    • Real-time rendering of high-quality medical visualizations is computationally demanding, limiting use on mobile VR headsets.

    Purpose of the Study:

    • To propose a novel approach for efficient, high-quality 3D medical image visualization.
    • To enable interactive 3D anatomical evaluation on compute-constrained devices.
    • To retain explorative qualities of path tracing in a more efficient representation.

    Main Methods:

    • Utilized Gaussian Splatting (GS) to create an efficient, static intermediate representation of CT scans.
    • Introduced a layered GS representation, incrementally adding anatomical structures and removing inactive Gaussians.
    • Compressed the GS model using cross-layer clustering and enabled selective layer activation/clipping at render time.

    Main Results:

    • Achieved interactive frame rates for 3D medical visualizations while preserving anatomical structures.
    • Demonstrated adjustable visualization quality suitable for target hardware.
    • Retained some interactive and explorative capabilities compared to standard GS, despite the static nature.

    Conclusions:

    • The proposed layered Gaussian Splatting approach offers an efficient alternative for real-time 3D medical visualization.
    • This method makes advanced anatomical evaluation more accessible on mobile VR devices.
    • The technique balances computational efficiency with the preservation of anatomical detail and interactive potential.