Mathematical Methods in MRI - SFB MR-DYNAMO Workshop

Session

Contributed Talks: Session 7

21 May 2026, 15:50

HS BMT (BMTEG138), Stremayrgasse 16

Conveners

Contributed Talks: Session 7

• Richard Huber (University of Graz)

29. Geometrically-grounded 3D+time representations from sparse 2D MR views

Mr Nil Stolt-Ansó (Technical University of Munich)

21/05/2026, 15:50

Recovering high-fidelity 3D volumes from sparse or degraded 2D images is a fundamental challenge in magnetic resonance imaging with broad clinical applications. Implicit neural representations (INRs) offer a resolution-agnostic solution to modelling a volume directly from a scanner’s coordinate system. This allows for continuous 3D representations to be built from arbitrarily oriented sets of...

19. Patient-specific 3D ventricular models from cardiac cine MRI: a segmentation, registration, and volumetric modeling framework

Dr Kathrin Lisa Kapper (University of Graz, Austria)

21/05/2026, 16:15

Accurate 3D cardiac model construction relies on high-quality segmentation and registration of 2D+t cardiac cine MRI (cMRI) data, with patient-specific ventricular models serving as a key building block for cardiac digital twins. 2D+t cMRI offers higher resolution compared to 3D acquisitions, but the 2D slices are prone to spatial misalignment caused by patient movement and inconsistent breath...