Meeting Banner
Abstract #1168

Is good old GRAPPA dead?

Zaccharie Ramzi1,2,3, Philippe Ciuciu1,2, Jean-Luc Starck3, and Alexandre Vignaud1
1Neurospin, Gif-Sur-Yvette, France, 2Parietal team, Inria Saclay, Gif-Sur-Yvette, France, 3Cosmostat team, CEA, Gif-Sur-Yvette, France

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here