Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
368-01-008 ISMRM Abstract

Towards Accelerated Motion-Resolved 4D Cartesian Imaging Using Compressed Sensing with Deep Learning Motion Estimation

Primary: Interventional - MR-Guided Radiotherapy
Secondary: Acquisition & Reconstruction - AI methods
368-01-008 · Registration, Atlases, and Motion · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row I
Keywords: Free breathing Body MRI Deep learning image registration Liver MRI Motion compensated reconstruction
Accepted
Majd Helo 1,2, Aya Ghoul1, Daniel Amsel1,2, Cornelius Eichner2,3, Marcel Dominik Nickel2, Thomas Küstner1
1Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany
2Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany
3Cancer Therapy Imaging, Siemens Healthineers AG, Forchheim, Germany
Presenting Author: Majd Helo

Synopsis

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References

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12. Eichner, C., et al., From Stars to Stripes: Increasing Image Quality and Acquisition Speed in 4D Radiotherapy MR Imaging.
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14. Chambolle, A., An algorithm for total variation minimization and applications. Journal of Mathematical imaging and vision, 2004. 20(1): p. 89-97.
15. Ghoul, A., et al., Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging. IEEE Trans Med Imaging, 2024. 43(8): p. 3013-3026.
16. Jiang, S., et al. Learning to estimate hidden motions with global motion aggregation. in Proceedings of the IEEE/CVF international conference on computer vision. 2021.
17. Cho, K., et al., On the properties of neural machine translation: Encoder-decoder approaches. arXiv preprint arXiv:1409.1259, 2014.
18. Baker, S., et al., A database and evaluation methodology for optical flow. International journal of computer vision, 2011. 92(1): p. 1-31.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/368-01-008