Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
467-04-012 ISMRM Abstract

Computationally efficient respiratory motion-informed reconstruction for 4D flow MRI

Accepted
Luuk Jacobs 1, Pietro Dirix1, Sebastian Kozerke1
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
Presenting Author: Luuk Jacobs

Synopsis

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References

1. Bissell, M. M. et al. 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update. J. Cardiovasc. Magn. Reson. 25, 40 (2023).
2. Jacobs, L., Piccirelli, M., Vishnevskiy, V. & Kozerke, S. FlowMRI-Net: A Generalizable Self-Supervised 4D Flow MRI Reconstruction Network. J. Cardiovasc. Magn. Reson. 101913 (2025) doi:10.1016/j.jocmr.2025.101913. [doi]
3. Vishnevskiy, V., Walheim, J. & Kozerke, S. Deep variational network for rapid 4D flow MRI reconstruction. Nat. Mach. Intell. 2, 228–235 (2020).
4. Li, Z. et al. Unsupervised 4D-flow MRI reconstruction based on partially-independent generative modeling and complex-difference sparsity constraint. Med. Image Anal. 106, 103769 (2025).
5. Dirix, P., Jacobs, L., Buoso, S. & Kozerke, S. Synthesizing Scalable CFD-Enhanced Aortic 4D Flow MRI for Assessing Accuracy and Precision of Deep-Learning Image Reconstruction and Segmentation Tasks. in Simulation and Synthesis in Medical Imaging (eds. Fernandez, V. et al.) 157–166 (Springer Nature Switzerland, Cham, 2025). doi:10.1007/978-3-031-73281-2_15. [doi]
6. Cheng, J. Y. et al. Free-breathing pediatric MRI with nonrigid motion correction and acceleration. J. Magn. Reson. Imaging 42, 407–420 (2015).
7. Vishnevskiy, V., Gass, T., Szekely, G., Tanner, C. & Goksel, O. Isotropic Total Variation Regularization of Displacements in Parametric Image Registration. IEEE Trans. Med. Imaging 36, 385–395 (2017).

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