Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
363-06-008 ISMRM Abstract

Intracranial 4D Flow MRI across field strengths – experimental in-vitro study at 1.5, 3, and 7T

Primary: Cardiovascular - Flow
Secondary: Acquisition & Reconstruction - Quantitative Imaging: head and neck
363-06-008 · Hemodynamics and Flow · Monday, 11 May, 5:05 PM–6:00 PM · Digital Posters Row D
Keywords: Neurovascular 4D flow MRI Phantom study Field strength comparison Circle of Willis
Accepted
Ali El Ahmar 1, Patrick Winter1,2, Oliver Welin Odeback3, David Marlevi3,4, Susanne Schnell1, Alexander Fyrdahl3,5
1Department of Medical Physics, University of Greifswald, Greifswald, Germany
2Department of Radiology, University Hospital Greifswald, Greifswald, Germany
3Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden
4Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
5Unit of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden
Presenting Author: Ali El Ahmar

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References

1. S. Schnell et al., “Accelerated dual-venc 4D flow MRI for neurovascular applications,” Journal of Magnetic Resonance Imaging, vol. 46, no. 1, pp. 102–114, 2017. doi: 10.1002/jmri.25595. [doi]
2. A. Wåhlin, A. Eklund, and J. Malm, “4D flow MRI hemodynamic biomarkers for cerebrovascular diseases,” Journal of Internal Medicine, vol. 291, no. 2, pp. 115–127, 2022. doi: 10.1111/joim.13392. [doi]
3. D. Marlevi et al., “Noninvasive quantification of cerebrovascular pressure changes using 4D flow MRI,” Magnetic resonance in medicine, vol. 86, no. 6, pp. 3096–3110, 2021. doi: 10.1002/mrm.28928. [doi]
4. A. T. Hess et al., “Aortic 4D flow: Quantification of signal-to-noise ratio as a function of field strength and contrast enhancement for 1.5T, 3T, and 7T,” Magnetic resonance in medicine, vol. 73, no. 5, pp. 1864–1871, 2015. doi: 10.1002/mrm.25317. [doi]
5. A. El Ahmar et al., “Non-invasive quantification of pressure drops in stenotic intracranial vessels: Using deep learning-enhanced 4D flow MRI to characterize the regional haemodynamics of the pulsing brain,” Interface Focus, vol. 15, no. 1, p. 20 240 040, 2025. doi: 10.1098/rsfs.2024.0040. [doi]
6. B. Jung, P. Ullmann, M. Honal, S. Bauer, J. Hennig, and M. Markl, “Parallel MRI with extended and averaged GRAPPA kernels (PEAK-GRAPPA): Optimized spatiotemporal dynamic imaging,” Journal of Magnetic Resonance Imaging, vol. 28, no. 5, pp. 1226–1232, 2008. doi: 10.1002/jmri.21561. [doi]
7. A. Vali et al., “Semi-automated analysis of 4D flow MRI to assess the hemodynamic impact of intracranial atherosclerotic disease,” Magnetic Resonance in Medicine, vol. 82, no. 2, pp. 749–762, 2019. doi: 10.1002/mrm.27747 [doi]
8. S. Wiesemann et al., “Impact of sequence type and field strength (1.5, 3, and 7T) on 4D flow MRI hemodynamic aortic parameters in healthy volunteers,” Magnetic Resonance in Medicine, vol. 85, no. 2, pp. 721–733, 2021. doi: 10.1002/mrm.28450 [doi]

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http://echo.ismrm.org/p/ISMRM2026/363-06-008