Researchers at the University Medical Center Göttingen (UMG) and the Max Planck Institute for Multidisciplinary Sciences (MPI-NAT) have succeeded in visualizing the movement patterns of the internal ...

In a proof-of-concept study published in The British Journal of Radiology, UC Davis clinicians and researchers have shown that a new, low-field 0.55T MRI (magnetic resonance imaging) system can create ...

Please provide your email address to receive an email when new articles are posted on . Reader assessment scores were higher in radial-ulnar deviation scans with higher resolutions. Static wrist MRIs ...

Magnetic resonance imaging is a core tool for evaluating lumbar spine disorders, including disc herniation, spinal canal stenosis, and related degenerative conditions. In routine practice, however, ...

Medical imaging using magnetic resonance imaging (MRI) is very time-consuming since an image has to be compiled from data from many individual measurements. Thanks to the use of machine learning, ...

On January 9 th, 2024, a scientific prototype for MRI-guided proton therapy was inaugurated in Dresden. With this installation, experts from the fields of medicine, medical physics, biology and ...

On January 9th, 2024, a scientific prototype for MRI-guided proton therapy was inaugurated in Dresden at OncoRay–National Center for Radiation Research in Oncology. With this installation, experts ...

Using smartly trained neural networks, researchers at TU Graz have succeeded in generating precise real-time images of the beating heart from just a few MRI measurement data. Other MRI applications ...

Researchers at the Ohio State Gene Therapy Institute, Wexner Medical Center and College of Medicine are studying the use of real-time magnetic resonance imaging, or RT-MRIs, during gene therapy of the ...

A recent patent application from Laleh Rad, associate professor of Biomedical Engineering and Radiology at Northwestern University, describes the use of machine learning for real-time risk assessment ...