Super-resolution and de-noising using a pretrained neural network

Abstract

A computer system that increases resolution and/or reduces noise (and/or artifacts) in measurements is described. During operation, the computer system may obtain information specifying simulated MR measurements and at least an MR measurement. Then, the computer system may increase the resolution and/or reduces the noise in at least the MR measurement or the simulated MR measurements using a pretrained neural network, where the pretrained neural network includes a three-dimensional (3D) generative neural network (GAN) in series with a patch discriminator. Note that the patch discriminator may output information indicating whether an input to the pretrained neural network is a real MR measurement or a simulated MR measurement. Moreover, the simulated MR measurements may have a lower resolution than at least the MR measurement.

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