A team of bioengineers at Rensselaer Polytechnic Institute (RPI), with funding from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), have developed an artificial intelligence ...

CT images of the chest and abdomen produced using low-dose AI reconstruction, low-dose conventional iterative reconstruction and normal-dose CT. (Courtesy: the Ge Wang group at RPI; the Mannudeep ...

A machine learning model produced low-dose CT images with greater speed and accuracy than previous attempts to use less radiation in CT imaging, according to a study published this week in Nature ...

Machine learning has the potential to vastly advance medical imaging, particularly computerized tomography (CT) scanning, by reducing radiation exposure and improving image quality. Machine learning ...

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 ...

Tomographic Particle Image Velocimetry (Tomo-PIV) is a 3D particle image velocimetry technology combined with computed tomography (CT), which can realize full-field quantitative measurement of spatial ...

Recently, there has been exponential growth within the CT systems market. Consequently, a large variety of systems have landed on the market, ranging from giant, flagship systems covering an extensive ...