SONAR: A Structure-Consistent Neural Operator for Null-Space-Aware Sparse View CT Reconstruction
ONAR is proposed, a Structure-Consistent Neural Operator for Null-Space-Aware Reconstruction that predicts a low-dimensional null-space-aware representation from the acquired projections as pseudo-measurements, demonstrating accurate, structurally reliable, and discretization-robust sparse-view CT reconstruction.