ALEXANDRIA, Va., Aug. 6 -- United States Patent no. 12,379,440, issued on Aug. 5, was assigned to Siemens Healthineers AG (Forchheim, Germany).
"Multichannel deep learning reconstruction of multiple repetitions" was invented by Simon Arberet (Princeton, N.J.), Marcel Dominik Nickel (Herzogenaurach, Germany), Thomas Benkert (Neunkirchen am Brand, Germany), 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. An adapter is used to adapt scan data so that different quantities of repetitions or directions may be used to train and implement a single multichannel backbone netwo...