Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
605-01-010 ISMRM Abstract

Zero-Shot Unsupervised Motion-Correction for Cardiac Super-Resolution T1 Mapping

Accepted
Mara Guastini 1, Andreas Kofler1, Christoph Kolbitsch1
1Physikalisch Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
Presenting Author: Mara Guastini

Synopsis

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References

1. S. Hufnagel et al. 3D whole heart k-space-based super-resolution cardiac T1 mapping using rotated stacks. Physics in Medicine & Biology, Apr. 2024. DOI: 10.1088/1361-6560/ad33b6. [doi]
2. D. P. Kingma and J. Ba. Adam: A method for stochastic optimization, 2017. DOI: 10.48550/arXiv.1412.6980. [doi]
3. G. Balakrishnan et al. VoxelMorph: A learning framework for deformable medical image registration. IEEE TMI, 2019. DOI: 10.1109/TMI.2019.2897538. [doi]
4. O. Oktay et al. Attention U-net: Learning where to look for the pancreas. 2018. DOI:10.48550/arXiv.1804.03999. [doi]
5. O. Ronneberger et al. U-net: Convolutional networks for biomedical image segmentation. MICCAI 2015. Springer International Publishing. DOI:10.1007/978-3-319-24574-4_28. [doi]
6. M. Guastini et al. Zero-shot unsupervised motion estimation for motion-corrected cardiac T1 mapping. IEEE TBME, PP, 2025. DOI:10.1109/TBME.2025.3624279. [doi]
7. D. Rueckert et al. Nonrigid registration using free-form deformations: application to breast MR images. IEEE TMI. 1999. DOI: 10.1109/42.796284. [doi]
8. F. F. Zimmermann et al. MRpro - PyTorch-based MR image reconstruction and processing package, 2024. DOI: 10.5281/zenodo.14509598. [doi]

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