Improvement of Medical Image Quality in Magnetic Resonance Using Deep Learning

Abstract

This overview presents techniques for improving quality of magnetic resonance (MR) images using deep learning. This article classifies acquisition processes of MR as pulse-sequence generation, image reconstruction and post-processing. Applications of deep learning to those three processes are explained individually.