Mathematical Methods in MRI - SFB MR-DYNAMO Workshop

Session

Contributed Talks: Session 8

22 May 2026, 10:00

HS BMT (BMTEG138), Stremayrgasse 16

Conveners

Contributed Talks: Session 8

• Barbara Kaltenbacher (University of Klagenfurt)

14. MRI-NUFFT: an open-source toolbox for high-performance non-Cartesian reconstruction and trajectory design

Mr Pierre-Antoine Comby (CEA/Neurospin)

22/05/2026, 10:00

MRI reconstruction from non-Cartesian k-space undersampling is naturally formulated as an inverse problem (y = Ax + n), where recovering the image x from data y critically depends on the accuracy and efficiency of the forward model A. MRI-NUFFT is an open-source Python library that provides a unified, high-performance implementation of this physics-based forward model for non-Cartesian MRI...

30. Neural network-based motion-aware reconstruction of dynamic MRI data

Mr Matthias Höfler (University of Graz)

22/05/2026, 10:25

Magnetic resonance imaging (MRI) has become a standard diagnostic tool in medical assessments. However, long acquisition times remain one of its main drawbacks. This makes dynamic imaging, as needed in cineMRI, particularly challenging: motion artefacts and limited data acquisition per time point lead to an inherently ill-posed reconstruction problem. Typical solution strategies include...