551-01-017 / 551-01-017 ISMRM Abstract

4D bSSFP and 4D flow MRI to correlate motion with hemodynamics in aortic disease in Marfan patients

Primary: Cardiovascular - Flow

Secondary: Cardiovascular - Vascular and Vessel Wall

551-01-017 · Frontiers in Cardiovascular MR · Wednesday, 13 May, 8:20 AM–9:56 AM · Power Pitch Theatre 1

Keywords: 4D flow MRI 4D CINE Aorta Marfan

Accepted

Daan Bosshardt¹, Renske Merton¹, Eric Schrauben¹, Roland R van Kimmenade², Aart J Nederveen¹, Moniek G Cox³, A J Scholte⁴, Danielle Robbers-Vissers¹, Maarten Groenink¹, Pim van Ooij ¹

¹Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands

²Radboud University Medical Center, Nijmegen, Netherlands

³University Medical Center Groningen, Groningen, Netherlands

⁴Leiden University Medical Center, Leiden, Netherlands

Presenting Author: Pim van Ooij

Synopsis

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References

1. Bissell, M.M., et al., 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2023. 25(1): p. 40–40. PMID: 37474977; DOI: 10.1186/s12968-023-00942-z [doi] [pmid]

2. Bosshardt, D., et al., 3D distensibility of the aorta derived from 4D CMR in patients with Marfan syndrome. Journal of Cardiovascular Magnetic Resonance, 2025. accepted

3. Gottwald, L.M., et al., Pseudo-spiral sampling and compressed sensing reconstruction provides flexibility of temporal resolution in accelerated aortic 4D flow MRI: A comparison with k-t principal component analysis. NMR in biomedicine, 2020. 33(4): p. e4255–e4255. PMID: 31957927; DOI: 10.1002/nbm.4255 [doi] [pmid]

4. Fischer, C., et al., Fully automated background phase correction using M-estimate SAmple consensus (MSAC)-Application to 2D and 4D flow. Magnetic resonance in medicine, 2022. Dec;88(6):2709-2717. PMID: 35916368; DOI: 10.1002/mrm.29363 [doi] [pmid]

5. Isensee, F., et al., nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nature methods, 2021. 18(2): p. 203–211. PMID: 33288961; DOI: 10.1038/s41592-020-01008-z [doi] [pmid]

6. Merton, R., et al., Assessing Aortic Motion with Automated 3D Cine Balanced SSFP MRI Segmentation. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2024: p. 101089–101089. PMID: 39218220; DOI: 10.1016/j.jocmr.2024.101089 [doi] [pmid]

7. Potters, W.V., et al., Volumetric arterial wall shear stress calculation based on cine phase contrast MRI. Journal of magnetic resonance imaging : JMRI, 2015. 41(2): p. 505–16. PMID: 24436246; DOI: 10.1002/jmri.24560 [doi] [pmid]

8. Schrauben, E.M., et al. A Pulse Wave Velocity Calculation Tool for 4D flow MRI - Data Requirements and Application in Marfan Patients. in ISMRM. 2021.

9. Geiger, J., et al., Aortic flow patterns in patients with Marfan syndrome assessed by flow-sensitive four-dimensional MRI. Journal of magnetic resonance imaging : JMRI, 2012. 35(3): p. 594–600. PMID: 22095635; DOI: 10.1002/jmri.23500 [doi] [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/551-01-017