US Patent Issued to University of Virginia Patent Foundation on Aug. 25 for "Method and system for low-field MRI denoising with a deep complex-valued convolutional neural network" (Virginia Inventors)

ALEXANDRIA, Va., Aug. 25 -- United States Patent no. 12,718,333, issued on Aug. 25, was assigned to University of Virginia Patent Foundation (Charlottesville, Va.).

"Method and system for low-field MRI denoising with a deep complex-valued convolutional neural network" was invented by Craig H. Meyer (Charlottesville, Va.), Quan Dou (Charlottesville, Va.), Zhixing Wang (Charlottesville, Va.), Xue Feng (Zion Crossroads, Va.) and John P. Mugler (Charlottesville, Va.).

According to the abstract* released by the U.S. Patent & Trademark Office: "MR image data can be improved by using a complex de-noising convolutional neural network such as a non-blind C-DnCNN, a network for MRI denoising that leverages complex-valued data with phase information...