US Patent Issued to Siemens Healthineers on March 24 for "Quasi-Newton MRI deep learning reconstruction" (American, German Inventors)

ALEXANDRIA, Va., March 24 -- United States Patent no. 12,586,277, issued on March 24, was assigned to Siemens Healthineers AG (Forchheim, Germany).

"Quasi-Newton MRI deep learning reconstruction" was invented by Simon Arberet (Princeton, N.J.) and Marcel Dominik Nickel (Herzogenaurach, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods reconstruction for a medical imaging system using a quasi-newton method. An unrolled iterative reconstruction process is used to reconstruct an image from the scan data. The unrolled iterative reconstruction process includes a plurality of cascades that include at least a data-consistency step and a regularization step. The data-consistency step is modi...