US Patent Issued to Siemens Healthineers on April 21 for "Time compressed dynamic MR deep learning reconstruction" (American, German Inventors)

ALEXANDRIA, Va., April 21 -- United States Patent no. 12,607,695, issued on April 21, was assigned to Siemens Healthineers AG (Forchheim, Germany).

"Time compressed dynamic MR deep learning reconstruction" was invented by Simon Arberet (Princeton, N.J.), Mahmoud Mostapha (Princeton, N.J.), Marcel Dominik Nickel (Herzogenaurach, Germany) 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. Non-Cartesian k-space data is acquired using a dynamic MR sequence. A time compression network compresses the non-Cartesian data. The compressed data is used for reconstruction of an image. The time compression network is...