Mathematical Methods in MRI - SFB MR-DYNAMO Workshop

Session

Plenary Talk

20 May 2026, 09:30

Hörsaal 1 (ATK1120H) (Rechbauerstraße 12)

Conveners

Plenary Talk: Prof. Moritz Zaiss

• Martin Uecker (TU Graz)

Plenary Talk: Prof. Michael Unser

• Thomas Pock (TU Graz)

Plenary Talk: Prof. Gerlind Plonka-Hoch

• Barbara Kaltenbacher (University of Klagenfurt)

36. MR-zero: How MR physicists move fast and break things

Prof. Moritz Zaiss (Friedrich-Alexander University Erlangen–Nuremberg (FAU))

20/05/2026, 09:30

In the MR-zero project [1,2], we approached to reinvent MRI from scratch by treating MR sequence design as a learning-based optimization problem. We formulate an end-to-end differentiable simulation pipeline, given a specific imaging task or even just a target image, the entire chain can be optimized jointly.

In this talk, I will introduce the MR-zero approach and illustrate it with...

39. Deep-spline neural networks for stable image reconstruction

Prof. Michael Unser (Ecole Polytechnique Fédérale de Lausanne (EPFL))

21/05/2026, 09:00

The two dominant CNN-based paradigms for consistent biomedical image reconstruction are: (i) approaches based on trainable regularizers; and (ii) proximal-gradient-type architectures, such as plug-and-play (PnP) methods, that rely on a learned denoiser. A major challenge in both settings is the control of stability and convergence, which typically requires restrictive conditions such as...

35. The multichannel blind deconvolution problem in parallel MRI

Prof. Gerlind Plonka-Hoch (University of Göttingen)

22/05/2026, 09:00

One of the biggest innovations in magnetic resonance imaging (MRI) within the last years was the concept of parallel MRI. In this setting, the use of multiple receiver coils allows the reconstruction of high-resolution images from undersampled Fourier data such that the acquisition time can be substantially reduced. Mathematically, the parallel MRI reconstruction problem can be seen as a...