Deep learning techniques to suppress artifacts in magnetic resonance images

摘要

Techniques for removing artifacts such as RF interference and/or noise from magnetic resonance data. The techniques include obtaining input magnetic resonance (MR) data using at least one radio frequency (RF) coil of a magnetic resonance imaging (MRI) system; And generating an MR image from the input MR data by using the neural network model at least in part to suppress at least one artifact in the input MR data.