Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
630-03-009 ISMRM Abstract

A Fully Automated Pipeline for Multi-Region 4D Flow MRI Analysis

Primary: Cardiovascular - Flow
Secondary: Analysis Methods - Software Tools
630-03-009 · Hemodynamics and Flow · Thursday, 14 May, 4:00 PM–5:50 PM · Meeting Room 2.60
Keywords: 4D flow MRI Automatic Quantification
Accepted
Yuyang Ren 1, Ruiyu Cao2, Zijian Zhou1, Chengyan Wang3, Hao Li2, Peng Hu1,4,5
1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
2Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
3Human Phenome Institute, Fudan University, Shanghai, China
4State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
5Shanghai Clinical Research and Trial Center, ShanghaiTech University, Shanghai, China
Presenting Author: Yuyang Ren

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References

1. Markl, M., et al., 4D flow MRI. 2012. 36(5): p. 1015-1036. doi: 10.1002/jmri.23632. [doi]
2. 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. doi: 10.1038/s41592-020-01008-z. [doi]
3. Zhang, T.Y. and C.Y. Suen, A fast parallel algorithm for thinning digital patterns. Communications of the ACM, 1984. 27(3): p. 236-239. doi: 10.1145/357994.358023 [doi]
4. Petersson, S., P. Dyverfeldt, and T. Ebbers, Assessment of the accuracy of MRI wall shear stress estimation using numerical simulations. Journal of Magnetic Resonance Imaging, 2012. 36(1): p. 128-138. doi: 10.1002/jmri.23610. [doi]
5. Ha, H., et al., Estimation of turbulent kinetic energy using 4D phase-contrast MRI: Effect of scan parameters and target vessel size. Magnetic resonance imaging, 2016. 34(6): p. 715-723. doi: 10.1016/j.mri.2016.03.008. [doi]

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http://echo.ismrm.org/p/ISMRM2026/630-03-009