16 citations · 19 across the 5 of their papers we have counts for
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math.NA2017
Dynamic MRI Reconstruction from Undersampled Data with an Anatomical Prescan
Julian Rasch, Ville Kolehmainen, Riikka Nivajärvi +4
The goal of dynamic magnetic resonance imaging (dynamic MRI) is to visualize tissue properties and their local changes over time that are traceable in the MR signal. We propose a n…
math.NA2017★ 16 cited
Joint Reconstruction via Coupled Bregman Iterations with Applications to PET-MR Imaging
Julian Rasch, Eva-Maria Brinkmann, Martin Burger
Joint reconstruction has recently attracted a lot of attention, especially in the field of medical multi-modality imaging such as PET-MRI. Most of the developed methods rely on the…