US Patent Issued to GE Precision Healthcare on Sept. 2 for "System and method for deep learning-based chemical shift artifact mitigation of non-Cartesian magnetic resonance imaging data" (American, Canadian, German Inventors)

ALEXANDRIA, Va., Sept. 3 -- United States Patent no. 12,406,412, issued on Sept. 2, was assigned to GE Precision Healthcare LLC (Wauwatosa, Wis.).

"System and method for deep learning-based chemical shift artifact mitigation of non-Cartesian magnetic resonance imaging data" was invented by Sagar Mandava (Atlanta), Robert Marc Lebel (Calgary, Canada), Michael Carl (San Marcos, Calif.) and Florian Wiesinger (Freising, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method for generating a chemical shift artifact corrected reconstructed image from magnetic resonance imaging (MRI) data includes inputting into a trained deep neural network an image generated from the MRI data acquire...