Tag: Radiation dose reduction

A preliminary five-patient study found that a prototype deep silicon photon-counting CT scanner produced virtual unenhanced images within 10 Hounsfield ...

Researchers report a deep learning framework called ShearFocusNet that denoises low-dose CT images by combining Shearlet-based directional perception with spatial ...

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 ...

In the realm of pediatric healthcare, the importance of imaging techniques cannot be overstated. These methods serve as crucial tools ...