US Patent Issued to GE PRECISION HEALTHCARE on Dec. 30 for "Systems and methods for deep learning regularized reconstruction of under sampled magnetic resonance imaging data" (American, Canadian Inventors)

ALEXANDRIA, Va., Dec. 31 -- United States Patent no. 12,510,614, issued on Dec. 30, was assigned to GE PRECISION HEALTHCARE LLC (Waukesha, Wis.).

"Systems and methods for deep learning regularized reconstruction of under sampled magnetic resonance imaging data" was invented by Graeme C Mckinnon (Waukesha, Wis.), Xucheng Zhu (Mountain View, Calif.) and Robert Marc Lebel (Calgary, Canada).

According to the abstract* released by the U.S. Patent & Trademark Office: "Embodiments of the present disclosure relate to systems and methods for reconstructing magnetic resonance imaging (MRI) images from under sampled k-space data. The method includes acquiring multi-coil under sampled k-space data with a fully-sampled calibration region, determining ...