Is good old GRAPPA dead?

Abstract

We perform a qualitative analysis of performance of XPDNet, a state-of-the-art deep learning approach for MRI reconstruction, compared to GRAPPA, a classical approach. We do this in multiple settings, in particular testing the robustness of the XPDNet to unseen settings, and show that the XPDNet can to some degree generalize well.

Presented at ISMRM 2021

References in corpus (2)

• Image reconstruction by domain transform manifold learning
• fastMRI: An Open Dataset and Benchmarks for Accelerated MRI