Topic
ct-reconstruction
Artificial Intelligence #pediatric#skull
New AI Framework PSCT-Net Reduces Radiation Risk in Pediatric Skull CT Imaging
PSCT-Net is a novel deep learning framework for reconstructing 3D CT scans of pediatric skulls from only two X-ray images, significantly reducing radiation exposure. The method uses differentiable back-projection and attention-guided refinement to overcome depth ambiguity. It was evaluated on a private dataset called PedSkull-CT.
Jun 20, 2026 1 source
Artificial Intelligence #ct reconstruction#sparse-view
LUCID AI Framework Enhances Sparse-View CT Reconstruction with Flow Matching and Consistency Guidance
Researchers propose LUCID, a sparsity-adaptive consistency-guided framework for sparse-view CT reconstruction that uses flow matching to generate high-quality images from undersampled data. The method reduces radiation dose and scanning time while improving image quality and structural fidelity.
Jun 16, 2026 1 source