Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks.
Journal:
IEEE transactions on bio-medical engineering
Published Date:
Apr 2, 2018
Abstract
OBJECTIVE: Accelerated magnetic resonance (MR) image acquisition with compressed sensing (CS) and parallel imaging is a powerful method to reduce MR imaging scan time. However, many reconstruction algorithms have high computational costs. To address this, we investigate deep residual learning networks to remove aliasing artifacts from artifact corrupted images.
