Introduces soft Tuy-completeness with greedy (1-1/e approx) and MILP solvers for projection selection in cone-beam CT, reports 0.998 median greedy-to-MILP ratio on benchmarks, and defines ESR as a trajectory diagnostic for feature size.
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
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3DGR-CT adapts 3D Gaussian splatting with FBP-guided initialization and differentiable CT projection for sparse-view reconstruction, claiming better accuracy and speed than prior methods.
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3DGR-CT: Sparse-View CT Reconstruction with a 3D Gaussian Representation
3DGR-CT adapts 3D Gaussian splatting with FBP-guided initialization and differentiable CT projection for sparse-view reconstruction, claiming better accuracy and speed than prior methods.