One-step inverse generation network for sparse-view dual-energy CT reconstruction and material imaging.

Numerical simulation experiments show that the
OIGN has better performance on both reconstruction and material decomposition than
other state-of-the-art spectral CT imaging algorithms. OIGN also demonstrates high
imaging efficiency by completing two high-quality imaging tasks in just 50 seconds.
Additionally, anti-noise testing is conducted to evaluate the robustness of OIGN.
Significance. These findings have great potential in high-quality multi-task spectral
CT imaging in clinical diagnosis.