Computed tomography (CT) has long been a cornerstone in medical diagnostics and materials science, enabling the non-invasive visualisation of internal structures. Recent decades have witnessed a shift ...

FedM2CT consists of 3 modules, i.e., task-specific iRadonMAP (TS-iRadonMAP), condition-prompted mutual learning (CPML), and federated metadata learning (FMDL). TS-iRadonMAP performs the local CT image ...

Prof. Hengyong Yu of the Department of Electrical and Computer Engineering has been awarded a four-year, $2.3 million grant by the National Institutes of Health’s National Institute of Biomedical ...

Omni NDE cobots, X-ray end effectors and Voxray’s reconstruction approach enables 5-micron inspection of aerospace parts without size constraints.

Aug. 16, 2022 — Oak Ridge National Laboratory has announced that a multidisciplinary team of researchers from ORNL and Purdue University won the Truth CT Reconstruction Grand Challenge, which was ...

Leesburg, VA, December 8, 2022—An accepted manuscript published in ARRS’ American Journal of Roentgenology (AJR) guides optimization of clinical protocols when implementing ultra-high-resolution ...

Advances in medical imaging technologies have revolutionized how diseases and physical injuries are diagnosed, monitored and treated, leading to better patient outcomes and more personalized care.

At similar radiation doses, ultra-low-dose CT (ULDCT) achieved superior image quality using AI-enhanced iterative reconstruction than chest x-rays for assessing cystic fibrosis-related lung disease in ...