Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks

Understand

Image reconstruction from undersampled k-space data has been playing an important role for fast MRI.

• Recently, deep learning has demonstrated tremendous success in various fields and also shown potential to significantly speed up MR reconstruction with reduced measurements.
• This article gives an overview of deep learning-based image reconstruction methods for MRI.
• Three types of deep learning-based approaches are reviewed, the data-driven, model-driven and integrated approaches.