ALEXANDRIA, Va., April 9 -- United States Patent no. 12,268,533, issued on April 8, was assigned to The Johns Hopkins University (Baltimore).

"Machine learning model to adjust C-arm cone-beam computed tomography device trajectories" was invented by Mathias Unberath (Baltimore) and Jan-Nico Zaech (Zurich).

According to the abstract* released by the U.S. Patent & Trademark Office: "A device may receive an X-ray image captured by a C-arm CBCT device at a particular position defined by a six-degree of freedom pose relative to an anatomy, and may process the X-ray image, with a machine learning model, to determine a predicted quality of next possible X-ray images provided by the C-arm CBCT device. The device may utilize the machine learning mo...