Efficient Flow Matching for Sparse-View CT Reconstruction

Researchers developed FMCT/EFMCT, a new Flow Matching-based framework for CT medical imaging reconstruction that significantly improves computational efficiency over existing diffusion models. The method uses deterministic ordinary differential equations and velocity field reuse to reduce neural network evaluations while maintaining reconstruction quality.