ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data
Journal:
arXiv
Published Date:
Jul 9, 2025
Abstract
The visualization of volumetric medical data is crucial for enhancing
diagnostic accuracy and improving surgical planning and education. Cinematic
rendering techniques significantly enrich this process by providing
high-quality visualizations that convey intricate anatomical details, thereby
facilitating better understanding and decision-making in medical contexts.
However, the high computing cost and low rendering speed limit the requirement
of interactive visualization in practical applications. In this paper, we
introduce ClipGS, an innovative Gaussian splatting framework with the clipping
plane supported, for interactive cinematic visualization of volumetric medical
data. To address the challenges posed by dynamic interactions, we propose a
learnable truncation scheme that automatically adjusts the visibility of
Gaussian primitives in response to the clipping plane. Besides, we also design
an adaptive adjustment model to dynamically adjust the deformation of Gaussians
and refine the rendering performance. We validate our method on five volumetric
medical data (including CT and anatomical slice data), and reach an average
36.635 PSNR rendering quality with 156 FPS and 16.1 MB model size,
outperforming state-of-the-art methods in rendering quality and efficiency.
