Gaussian Material Fields for Volumetric Multi-Energy CT Decomposition
cs.CV
Submitted: 2026-10-07
Updated: 2026-10-07
Comments: 13 pages, 12 figures
Code: https://github.com/yqx7150/MGS
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- A Preconditioned Algorithm for Model-Based Iterative CT Reconstruction and Material Decomposition from Spectral CT Data
- Ray-driven Spectral CT Reconstruction Based on Neural Base-Material Fields
- SpectralCTGaussians: Projection-Domain Reconstruction and Basis Material Decomposition for Spectral CT using 3D Gaussian Splatting
- Unsupervised Physics-Informed Deep Learning for Dual-Energy CT Material Decomposition
- JSolver: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections
- Volumetric Material Decomposition Using Spectral Diffusion Posterior Sampling with a Compressed Polychromatic Forward Model
- 3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation
- FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting
- LINGO: Latent Initialization and Gradient Optimization for Sparse-view X-ray Novel View Synthesis and CT Reconstruction with 3D Gaussian Splatting
- Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation
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