When patients undergo an MRI, they are told to lie still because even the slightest movement compromises the quality of the images and can create blurred spots and speckles known as artifacts. Moreover, a long acquisition time is usually required to provide high-quality MRI images. A team of researchers from Washington University in St. Louis has found a new deep learning method that can minimize artifacts and other noise in MRI images that come from movement and a short image-acquisition time.
New recommendations will help provide more reliable, reproducible results for MRI-based measurements of cartilage degeneration in the knee, helping to slow down disease and prevent progression to irreversible osteoarthritis, according to a special report published in the journal Radiology.
Obesity is generally linked to poor eating habits and the availability of tasty, high-calorie foods. However, a new study led by researchers from the Magnetic Resonance Imaging Research Unit in the Department of Radiology at Hospital del Mar and the Barcelona Institute for Global Health (ISGlobal), a center supported by the "la Caixa" Foundation, has found that more elements are involved.
Engineers at Duke University have demonstrated a prototype X-ray scanning machine that reveals not just the shape of an object but its molecular composition. With unprecedented resolution and accuracy, the technology could revolutionize a wide range of fields such as cancer surgery, pathology, drug inspection and geology.
Radiologists have been unearthing the effects of COVID-19 on the lungs and brain using CT and MRI, respectively, over the past year. Now for the first time, they have found a visual correlation between severity in the two organs that could have important implications, according to new research.