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Mathematical Methods in MRI - SFB MR-DYNAMO Workshop

20–22 May 2026
A-8010 Graz
Europe/Vienna timezone

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Session

Contributed Talks: Session 9

22 May 2026, 11:20
HS BMT (BMTEG138), Stremayrgasse 16

HS BMT (BMTEG138), Stremayrgasse 16

TU Graz / Campus Neue Technik 8010 Graz

Conveners

Contributed Talks: Session 9

  • Markus Huemer (TU Graz)

Presentation materials

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  1. 17. On the role of smoothness constraints in MR fingerprinting sequence optimization
    Mr Tim Höpfner (University Hospital Würzburg)
    22/05/2026, 11:20

    Magnetic Resonance Fingerprinting (MRF) allows to determine MR relaxation times quantitatively, but its performance depends on the design of acquisition schemes to enable robust parameter estimation from highly undersampled data [1]. Earlier work by Zhao et al. introduced a smoothness constraint in a Cramér-Rao lower bound-based optimization framework, motivated by the observation that...

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  2. 15. MRI2Qmap: multi-parametric quantitative mapping using multimodal contrast-weighted MRI denoising priors
    Dr Mohammad Golbabaee (University of Bristol)
    22/05/2026, 11:45

    Magnetic Resonance Fingerprinting (MRF) and other highly accelerated transient-state parameter mapping techniques enable simultaneous quantification of multiple tissue properties, but often suffer from aliasing artifacts due to compressed sampling. Incorporating spatial image priors can mitigate these artifacts, and deep learning has shown strong potential when large training datasets are...

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