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.
Murphy, Patrick Virtue, Michael Elad, John M
6 Pith papers cite this work. Polarity classification is still indexing.
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Introduces a local measurement-manifold compatibility measure that bounds stable reconstruction error under generative priors and motivates fixed and adaptive acquisition rules.
MoE-dqINR factorizes INR-based MRI reconstruction into shared spatial experts plus state-conditioned routing to unify dynamic and quantitative reconstruction at roughly 30 seconds per scan.
PICO estimates image-domain noise covariance in linear and nonlinear MRI reconstructions up to 7x faster than PMR by using complex random-phase probes.
A cVAE plus flow-matching model generates realistic complex-valued brain MRI that preserves phase coherence above 0.997 and yields synthetic data that trains abnormality classifiers to 0.880 AUROC, beating the 0.842 real-data baseline on fastMRI.
A public GPU workflow for non-Fourier SENSE MRI reconstruction with sensitivity and off-resonance mapping enables fast, accurate imaging from challenging spiral trajectories.
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Generative Modeling of Complex-Valued Brain MRI Data
A cVAE plus flow-matching model generates realistic complex-valued brain MRI that preserves phase coherence above 0.997 and yields synthetic data that trains abnormality classifiers to 0.880 AUROC, beating the 0.842 real-data baseline on fastMRI.