MORSE-PI extends the MORSE reconstruction by adding a Virtual Reference Coil to deliver artefact-free, singularity-free phase images for QSM and other phase-sensitive MRI applications at 3T and 7T.
author Jakob, P.M
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A multi-contrast self-supervised MRI reconstruction framework with end-to-end learned k-space partitioning produces higher-fidelity images than single-contrast self-supervised baselines on two public datasets.
Introduces a local measurement-manifold compatibility measure that bounds stable reconstruction error under generative priors and motivates fixed and adaptive acquisition rules.
High-dimensional embedding prior improves diffusion-based k-space MRI reconstruction under noise by augmenting representation space.
Mixed training with contrast-informed augmentation and domain-adversarial training improves E2E-VarNet performance on neonatal T2-weighted brain MR reconstruction at R=4 and R=8 compared to adult-only training.
A public GPU workflow for non-Fourier SENSE MRI reconstruction with sensitivity and off-resonance mapping enables fast, accurate imaging from challenging spiral trajectories.