Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
363-06-006 ISMRM Abstract

Camera-based Respiratory Binning for 4D flow MRI at 0.6T

Accepted
Sébastien Emery 1, Jacob Malich1, Luuk Jacobs1, Gloria Wolkerstorfer2, Yiming Dong3, Martijn Nagtegaal3, Sebastian Kozerke1
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
2Institute for Biomedical Engineering, University and ETH Zürich, Zürich, Switzerland
3C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
Presenting Author: Sébastien Emery

Synopsis

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References

1. A. E. Campbell-Washburn et al., “Opportunities in Interventional and Diagnostic Imaging by Using High-Performance Low-Field-Strength MRI,” Radiology, vol. 293, no. 2, pp. 384–393, Nov. 2019, doi: 10.1148/radiol.2019190452. [doi]
2. C. Guenthner et al., “Ramping down a clinical 3 T scanner: a journey into MRI and MRS at 0.75 T,” Magn. Reson. Mater. Phys. Biol. Med., vol. 36, no. 3, pp. 355–373, July 2023, doi: 10.1007/s10334-023-01089-9. [doi]
3. J. Walheim, H. Dillinger, and S. Kozerke, “Multipoint 5D flow cardiovascular magnetic resonance - accelerated cardiac- and respiratory-motion resolved mapping of mean and turbulent velocities,” J. Cardiovasc. Magn. Reson., vol. 21, no. 1, p. 42, July 2019, doi: 10.1186/s12968-019-0549-0. [doi]
4. L. M. Gottwald et al., “Retrospective Camera-Based Respiratory Gating in Clinical Whole-Heart 4D Flow MRI,” J. Magn. Reson. Imaging, vol. 54, no. 2, pp. 440–451, 2021, doi: 10.1002/jmri.27564. [doi]
5. J. Walheim, H. Dillinger, A. Gotschy, and S. Kozerke, “5D Flow Tensor MRI to Efficiently Map Reynolds Stresses of Aortic Blood Flow In-Vivo,” Sci. Rep., vol. 9, no. 1, p. 18794, Dec. 2019, doi: 10.1038/s41598-019-55353-x. [doi]
6. T. Zhang, J. M. Pauly, and I. R. Levesque, “Accelerating parameter mapping with a locally low rank constraint,” Magn. Reson. Med., vol. 73, no. 2, pp. 655–661, 2015, doi: 10.1002/mrm.25161. [doi]
7. “(ISMRM 2025) Joint magnitude and phase neural network segmentation for cine 2D Flow MRI.” Accessed: Oct. 30, 2025. [Online]. Available: https://archive.ismrm.org/2025/3505.html
8. “(ISMRM 2025) Synthetically trained convolutional neural network vessel segmentation for 4D Flow MRI.” Accessed: Oct. 30, 2025. [Online]. Available: https://archive.ismrm.org/2025/3506_0XsfdUQkw.html

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