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Conference papers

Is good old GRAPPA dead?

Zaccharie Ramzi 1, 2 Alexandre Vignaud 3 Jean-Luc Starck 2 Philippe Ciuciu 1
1 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
Inria Saclay - Ile de France, NEUROSPIN - Service NEUROSPIN
2 AIM (UMR_7158 / UMR_E_9005 / UM_112) - Astrophysique Interprétation Modélisation
3 UNIRS - Unité d'imagerie par résonance magnétique à très haut champ et de spectroscopie
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.
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Conference papers
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https://hal.inria.fr/hal-03247596
Contributor : Zaccharie Ramzi Connect in order to contact the contributor
Submitted on : Tuesday, July 27, 2021 - 11:11:30 AM
Last modification on : Thursday, April 7, 2022 - 1:58:32 PM

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  • HAL Id : hal-03247596, version 1
  • ARXIV : 2106.00753

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Zaccharie Ramzi, Alexandre Vignaud, Jean-Luc Starck, Philippe Ciuciu. Is good old GRAPPA dead?. ISMRM 2021 - Annual Meeting of the International Society for Magnetic Resonance in Medicine, May 2021, Vancouver / Virtual, Canada. ⟨hal-03247596⟩

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