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.
Is good old GRAPPA dead?
XPDNet, a state-of-the-art deep learning model, is qualitatively compared to GRAPPA for MRI reconstruction, demonstrating robustness and generalization to unseen settings.
- Year
- 2021
- Venue
- arXiv 2021
- Authors
- 4
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- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2106.00753v2ARXIV-DEFAULT
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