Tag: radiation dose reduction

Researchers in Xi'an have trained a cascaded generative adversarial network to synthesize 18F-FDG PET images from 18F-octreotide scans, achieving near-perfect ...

A new Transformer-based dual-domain AI framework reconstructs high-quality CT images from sparse projection views, potentially reducing patient radiation exposure while ...

A University of Texas at Arlington team is developing AI-based 4D reconstruction methods to substantially reduce radiation dose in multi-phase ...

A Hong Kong study of 20 dry mandibles found that low-dose CBCT protocols cut radiation exposure by up to 93 ...

Researchers at Boğaziçi University have developed a CycleGAN-based deep learning model with residual dense blocks and attention modules that significantly ...

A phantom study reports millimeter-level accuracy for fusing tracked ultrasound with C-arm cone-beam CT, a radiation-sparing approach to spine surgery ...

Researchers have developed a crow-inspired, reference-free optimization framework that automatically tunes all hyperparameters of iterative CBCT reconstruction algorithms, delivering consistently ...

A new study shows that pairing low-voltage, low-iodine coronary CT angiography with high-strength iterative reconstruction cuts radiation dose by 72 ...

Mayo Clinic researchers show that AI-based spectral reconstruction can halve radiation dose in CT-guided kidney ablations while matching or exceeding ...

Finnish researchers have shown that scout-based angular tube current modulation can cut CBCT radiation dose by up to 20 percent ...