Method and apparatus for processing magnetic resonance image

Abstract

Provided are a method and apparatus for reconstructing a magnetic resonance (MR) image based on a structural similarity among a plurality of MR images having different contrasts. According to the method and apparatus, acceleration, high resolution imaging, quantification of parameters, and acquisition of an MR image having a new contrast are achievable by reconstructing the plurality of MR images by using a learning process via an artificial neural network (ANN) model.