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.
Task-driven source–detector trajectories in cone-beam computed tomography: I. Theory and methods
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Soft Tuy-Completeness for Robust Projection Selection in Cone-Beam CT
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.