Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction

7 code implementations • 30 Nov 2021 • D. Karkalousos, S. Noteboom, H. E. Hulst, F. M. Vos, M. W. A. Caan

Machine Learning methods can learn how to reconstruct Magnetic Resonance Images and thereby accelerate acquisition, which is of paramount importance to the clinical workflow.

Denoising MRI Reconstruction

Recurrent Inference Machines as inverse problem solvers for MR relaxometry

no code implementations • 8 Jun 2021 • E. R. Sabidussi, S. Klein, M. W. A. Caan, S. Bazrafkan, A. J. den Dekker, J. Sijbers, W. J. Niessen, D. H. J. Poot

This framework combines the advantages of both data-driven and model-based methods, and, we hypothesize, is a promising tool for QMRI.