Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
468-03-012 ISMRM Abstract

Automated Segmentation of Multi-Region 4D Flow MRI Using Deep Learning

Primary: Cardiovascular - Flow
Secondary: Analysis Methods - Segmentation and Detection
468-03-012 · Segmentation for Cardiac Applications · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row I
Keywords: Segmentation 4D flow MRI Multi-Organ Segmentation
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
4Shanghai Clinical Research and Trial Center, ShanghaiTech University, Shanghai, China
5State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
Presenting Author: Yuyang Ren

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Markl, M., et al., 4D flow MRI. 2012. 36(5): p. 1015-1036. doi: 10.1002/jmri.23632. [doi]
2. Bock, J., et al., Optimal processing to derive static PC-MRA from time-resolved 3D PC-MRI data. Imaging, 2007. 25: p. 824-831.
3. 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]
4. Dice, L.R., Measures of the amount of ecologic association between species. Ecology, 1945. 26(3): p. 297-302. doi: 10.2307/1932409 [doi]
5. Yu, J., et al. Unitbox: An advanced object detection network. in Proceedings of the 24th ACM international conference on Multimedia. 2016. doi:10.1145/2964284.2967274 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/468-03-012