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

This dataset has no data

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

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

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