US Patent Issued to Siemens Healthineers on Jan. 13 for "Adjusted data consistency in deep learning reconstructions" (German, American Inventors)

ALEXANDRIA, Va., Jan. 13 -- United States Patent no. 12,524,931, issued on Jan. 13, was assigned to Siemens Healthineers AG (Forchheim, Germany).

"Adjusted data consistency in deep learning reconstructions" was invented by Marcel Dominik Nickel (Herzogenaurach, Germany), Thomas Benkert (Neunkirchen am Brand, Germany), Simon Arberet (Princeton, N.J.), Mahmoud Mostapha (Princeton, N.J.) and Mariappan S. Nadar (Plainsboro, N.J.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for reconstruction for a medical imaging system. A scaling factor is used during the reconstruction process to adjust a step size of a gradient update. The adjustment of the step size of the gradient provides the ability ...