You're currently viewing an old version of this dataset. To see the current version, click here.

PHIMO - Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

PHIMO, a physics-informed motion correction method tailored to quantitative MRI, which utilises information from the MR signal evolution to detect motion events with a subject-specific, self-supervised MLP.

Data and Resources

Cite this as

Hannah Eichhorn, Veronika Spieker, Kerstin Hammernik, Elisa Saks, Kilian Weiss, Christine Preibisch, Julia A. Schnabel (2024). Dataset: PHIMO - Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI. https://doi.org/10.57702/obryb3ro

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2403.08298
Author Hannah Eichhorn
More Authors
Veronika Spieker
Kerstin Hammernik
Elisa Saks
Kilian Weiss
Christine Preibisch
Julia A. Schnabel
Homepage https://github.com/HannahEichhorn/PHIMO