US Patent Issued to Rensselaer Polytechnic Institute on April 14 for "Dynamic imaging and motion artifact reduction through deep learning" (New York Inventors)

ALEXANDRIA, Va., April 15 -- United States Patent no. 12,602,754, issued on April 14, was assigned to Rensselaer Polytechnic Institute (Troy, N.Y.).

"Dynamic imaging and motion artifact reduction through deep learning" was invented by Ge Wang (Loudonville, N.Y.), Qing Lyu (Troy, N.Y.) and Hongming Shan (Troy, N.Y.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A deep neural network for motion artifact reduction includes a transformer neural network, and a synthesis neural network. The transformer neural network is configured to receive input image data comprising a target image, a prior image, and a subsequent image. The transformer neural network is configured to mitigate a temporal aspect of the motion art...