DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering
–Neural Information Processing Systems
Digitally reconstructed radiographs (DRRs) are simulated 2D X-ray images generated from 3D CT volumes, widely used in preoperative settings but limited in intraoperative applications due to computational bottlenecks. Physics-based Monte Carlo simulations provide accurate representations but are extremely computationally intensity. Analytical DRR renderers are much more efficient, but at the price of ignoring anisotropic X-ray image formation phenomena such as Compton scattering. We propose a novel approach that balances realistic physics-inspired X-ray simulation with efficient, differentiable DRR generation using 3D Gaussian splatting (3DGS).
Neural Information Processing Systems
Apr-27-2026, 12:20:23 GMT
- Genre:
- Research Report > Promising Solution (0.41)
- Industry:
- Health & Medicine > Diagnostic Medicine > Imaging (0.84)
- Technology: