8 citations · 13 across the 8 of their papers we have counts for
3 papers · 1 filter
Agreement of Image Quality Metrics with Radiological Evaluation in the Presence of Motion Artifacts
Elisa Marchetto, Hannah Eichhorn, Daniel Gallichan +2
Purpose: Reliable image quality assessment is crucial for evaluating new motion correction methods for magnetic resonance imaging. In this work, we compare the performance of commo…
Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation
Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter +8
Neural implicit k-space representations have shown promising results for dynamic MRI at high temporal resolutions. Yet, their exclusive training in k-space limits the application o…
Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI
Hannah Eichhorn, Veronika Spieker, Kerstin Hammernik +4
We propose PHIMO, a physics-informed learning-based motion correction method tailored to quantitative MRI. PHIMO leverages information from the signal evolution to exclude motion-c…